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Role Summary We are seeking an AI Product Manager to lead the development and commercialization of next-generation AI-powered IVF solutions. This role is critical in transforming laboratory data into actionable clinical intelligence, enabling fertility clinics to improve outcomes, reduce variability, and scale operations through AI. You will own the full lifecycle of AI-driven products (e.g., embryo ranking, lab workflow intelligence, predictive analytics), working across clinical, engineering, and commercial teams globally. ¿Es usted el candidato adecuado para esta oportunidad? Asegúrese de leer la descripción completa a continuación. Key Responsibilities 1. AI Product Strategy & Portfolio Ownership • Define and drive the global product strategy for AI-enabled IVF solutions, • Build a scalable AI roadmap integrating:, • Embryo assessment algorithms, • Time-lapse imaging data, • Laboratory workflow analytics, • Identify new AI opportunities aligned with clinical impact and revenue growth 2. AI Product Development • Lead full product lifecycle:, • Concept → Data strategy → Model development → Clinical validation → Launch → Iteration, • Translate clinical and commercial needs into AI model requirements and product features, • Work closely with data science teams to:, • Define training datasets and annotation standards, • Set model performance benchmarks (AUC, sensitivity, specificity), • Ensure continuous model improvement through real-world data 3. Clinical Integration & Validation • Partner with embryologists and IVF clinics to ensure real-world usability, • Design and support clinical validation studies, • Translate AI outputs into clinically interpretable insights, • Ensure products support decision-making without increasing clinical risk 4. Data & Platform Strategy • Define and manage the data ecosystem, including:, • Time-lapse imaging data, • Patient and cycle data, • Lab operational data, • Develop feedback loops to improve AI models using global clinical datasets, • Ensure data integrity, traceability, and scalability 5. Regulatory & Compliance Alignment • Work with QARA teams to support documentation for AI validation and regulatory submissions, • Ensure AI transparency and explainability 6. Cross-Functional Project Management • Act as the bridge between:, • AI / Data Science teams, • Clinical & Application teams, • Regulatory & Quality, • Commercial & Marketing, • Drive alignment across global teams (EMEA, APAC, US), • Lead agile development cycles and product prioritization 7. Commercialization & Market Adoption • Define product positioning, pricing strategy, and value proposition, • Support go-to-market strategy and distributor enablement, • Work with marketing on scientific messaging and KOL engagement, • Monitor adoption metrics and continuously optimize product-market fit Requirements xcskxlj • Bachelor’s or Master’s degree in Biomedical Engineering, Computer Science, Data Science or Life Sciences. Advanced degree (MSc / PhD) preferred, • 6+ years of product management experience in Medical devices, Digital health, AI-driven healthcare products, • Proven experience launching AI or data-driven products, • IVF / reproductive medicine experience is highly preferred, • Strong understanding of Machine learning fundamentals, Data pipelines and model validation, AI performance metrics and limitations, • Ability to collaborate effectively with engineering and data science teams, • Familiar with IVF laboratory workflows, Embryology or reproductive medicine, Time-lapse imaging systems, • Strategic thinking with strong execution capability, • Ability to operate in a complex, global environment, • Strong stakeholder management across technical and non-technical teams, • Customer-centric mindset (clinicians, lab managers, distributors), • Mandarin Chinese speaking preferred

AYES busca Ingeniero/a de Planificación – PRIMAVERA P6 Inscríbase (haciendo clic en el botón correspondiente) después de revisar toda la información relacionada con el trabajo a continuación. En AYES, consultora internacional de ingeniería y tecnología nacida en Italia, seguimos creciendo y buscamos incorporar a nuestro equipo en Madrid un/a Ingeniero experto en planificación de ingeniería, compras y construcción de proyectos industriales. Tu perfil: • -BSc o MSC en Ingeniería (Industrial, Energética, Mecánica, Eléctrica...), • Experiencia específica en el desarrollo de planificación de proyectos en las fases de ingeniería, gestión de compras y de construcción de plantas industriales cubriendo todas las disciplinas y con conocimientos y/o experiencia en proyectos brownfield y greenfield., • Experiencia mínima 3 años., • Se valorará experiencia en grandes proyectos con empresas de primer nivel (constructoras civiles y de estructuras e instaladoras eléctricas, mecánicas y de tubería fundamentalmente., • Organizar y liderar reuniones de seguimiento y actualización de planificación., • Idioma del proyecto: inglés. Por lo que es imprescindible que el nivel de inglés mínimo sea B2., • Disponible en Madrid. Sobre AYES Somos una consultora internacional especializada en los sectores energético, transporte, farmacéutico y telecomunicaciones. Nuestro equipo combina experiencia, innovación y visión global para ofrecer soluciones de ingeniería de alto valor en proyectos internacionales. Qué ofrecemos • Formar parte de una empresa en pleno crecimiento internacional., • Entorno dinámico, colaborativo y orientado al desarrollo profesional., • Proyectos de gran impacto en Europa y Estados Unidos., • Posibilidades reales de crecimiento y evolución profesional. xcskxlj Si te apasiona la planificación, disfrutas optimizando procesos y quieres crecer en un entorno global e innovador… SAY YES AND GROW WITH AYES!

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Lead - Structural Biology Networks in Spain. Si los siguientes requisitos del puesto y la experiencia coinciden con sus habilidades, por favor, asegúrese de enviar su solicitud sin demora. This is a high-impact technical leadership role at the intersection of structural biology, foundation models, and federated machine learning. You will lead the delivery of advanced AI model systems powering drug discovery networks used by leading pharmaceutical and biotech partners. The role combines deep hands-on technical execution with strategic leadership, turning complex scientific goals into production-ready model pipelines. You will define technical direction, guide architectural decisions, and ensure reliable, high-quality model releases that directly support real-world drug discovery workflows. Working across research, engineering, and product teams, you will help translate cutting-edge ML advances into scalable systems. This position is ideal for a leader who thrives in technically complex, fast-moving environments and enjoys bridging research and production at scale. Accountabilities • Lead the end-to-end delivery of federated co-folding and structural biology model systems, staying deeply involved in modeling, architecture, evaluation, and engineering execution., • Design, fine-tune, and extend large-scale foundation models for structural biology, including systems such as OpenFold, Boltz-2, and ESMFold, ensuring robust and production-ready outputs., • Translate high-level scientific and technical objectives into clear execution plans, workstreams, and delivery milestones., • Define and enforce model evaluation criteria, ensuring high-quality, validated results suitable for real-world drug discovery applications., • Own delivery timelines and ensure model releases are shipped reliably, managing risks, dependencies, and technical trade-offs proactively., • Align consortium and internal stakeholders on objectives, data requirements, evaluation frameworks, and delivery expectations., • Collaborate closely with product, research, engineering, and leadership teams to ensure model development aligns with platform and customer needs., • Mentor ML engineers and scientists while contributing directly to technical design, experimentation, and system architecture., • PhD, MSc, or equivalent experience in Machine Learning, Computational Biology, Computer Science, or a related field, with 5+ years of applied ML experience in complex scientific or biological domains., • Strong hands-on expertise in structural biology ML, including protein modeling, co-folding, or binding prediction., • Proven experience working with modern ML frameworks such as Python and PyTorch, and extending large-scale models like OpenFold, AlphaFold, Boltz, or ESM., • Experience with MLOps or ML infrastructure, including Kubernetes-based training, evaluation, or deployment pipelines., • Demonstrated ability to lead complex ML delivery projects, define technical direction, and drive teams toward production-quality releases., • Strong player-coach capability, with experience mentoring technical teams while remaining hands-on in modeling and experimentation., • Ability to translate ambiguous scientific problems into structured technical plans and execution roadmaps., • Strong collaboration skills across research, product, engineering, and scientific stakeholders., • Bonus: experience in federated learning, distributed training, or privacy-preserving ML environments., • Bonus: experience in regulated or high-trust environments (pharma, biotech, enterprise ML systems)., • Competitive industry compensation, including early-stage virtual equity options., • Remote-first working model with flexibility to work from anywhere., • Wellbeing budget, mental health support, home office allowance, co-working stipend, and learning budget., • Generous annual holiday allowance., • Regular onsite team gatherings in Berlin or other European locations (approximately three times per year)., • Opportunity to work on cutting-edge AI systems applied directly to pharmaceutical drug discovery.

Company Description: ¿Todo listo para enviar su solicitud? Asegúrese de comprender todas las responsabilidades y tareas asociadas a este puesto antes de continuar. Aistech Space is focused on generating affordable, recurrent, high resolution thermal imagery of the planet to provide a new perspective of Earth’s changing resources. The company is based in Barcelona and aims to revolutionize remote sensing for environmental monitoring and resource management. What you will do: Aistech Space is looking for an entry-level Satellite HW Electronics Engineer to be part of the Space Infrastructure Team designing, analysing, integrating and testing new electronic subsystems for the new satellites of our constellation as well as developing the highest-tech payloads electronics and ground hw support equipment for testing. This new position offers the opportunity to rotate through each development engineering phase: design and analysis, integration and testing of all our Hardware (HW) projects. In this role, you will be responsible for managing hardware procurement and documentation, and coordinating internal resources to produce flight-qualified hardware for our space projects. The main responsibility for this job position is working closely with your HW electronics peers to deliver the next generation of payload electronics such as daughterboards, sensor boards, proximity sensor boards, cable development kits, automatic test benches, in order to deliver the payloads to each satellite mission. You will also be responsible to follow internal standards and good practices in terms of project management, documentation and time management following an agile approach in your daily work and ensuring the team is also doing it. The key objectives to be achieved are: • Understand Aistech Space mission objectives., • Work closely with the space infrastructure development team., • Design and development of high-density electronic circuits, from initial requirements and schematic design to complex multi-layer PCB layout., • Collaborate across teams to integrate payloads into the satellite platform, managing power budgets, high-speed data buses (SoC/FPGA), mechanical interfaces and technical risk analysis., • Design, build, and maintain advanced electronic test benches to validate payloads and full satellite systems against LEO environment requirements., • Provide low-level technical guidance to interdisciplinary teams (Optics, Firmware, Systems) and research emerging technologies to keep our space infrastructure at the cutting edge., • Work with partners and suppliers to evaluate technical proposals, ensuring they align with our mission objectives and quality standards., • Define rigorous testing procedures, maintain BOMs, and contribute to the company’s internal technical specifications. Who you are: Must: • BSc/MSc degree in Electronics Engineering or a relevant field., • Professional experience - 3 years minimum, • Open-minded, proactive learner, and receptive to criticism., • Strong proficiency in end-to-end Hardware Design—from schematic capture to complex multi-layer PCB layout., • Proven track record in DC/DC converter design and Power Distribution Networks (PDN) for sensitive electronics., • Proficiency with standard interfaces and protocols (CAN, I2C, RS422/485, GNSS, etc.), • Experience in the design with digital and analog components (SoC, MCU, FPGA, ADC, DAC, etc.)., • Experience in electrical analysis, functional testing at the system level, and laboratory debugging (soldering, Oscilloscopes, Spectrum Analyzers, …)., • Proven experience designing for high-reliability environments, with specific focus on mechanical robustness against launch vibrations/shocks and thermal management for extreme temperature cycling in vacuum conditions., • Knowledge of Agile methodologies., • Fluent in English. Nice to have: • Advanced knowledge of High-Speed Design (DDR3/DDR4 memory routing, LVDS, Ethernet, PCIe…), including impedance control and signal integrity., • Experience in electronics harnessing and complex system assembly., • Familiarity with EMC/EMI compliance, ideally following ECSS, MIL-STD or similar high-reliability standards., • Ability to navigate low-level C code or VHDL to support cross-departmental debugging, ensuring hardware designs align perfectly with embedded software and FPGA requirements. What You’ll Gain by Joining Us Be part of a passionate, collaborative, and respectful team. Enjoy a stable, permanent contract with a fast-growing company. Flexible working hours and hybrid work: 6 days/month from home. Competitive salary and flexible retribution through Cobee. Free access to paddle tennis courts and an on-site gym. Daily fresh fruit and coffee to keep you energized. Work in an international, diverse environment. 23 vacation days, plus Birthday, December 24 & 31 off. Where you will be: You will be working in the Barcelona HQ in Sant Cugat. To be considered for this position, you must already have the legal right to work in the European Union. xcskxlj We are unable to provide visa sponsorship.

We are hiring a Senior AI & Data Systems Engineer ¿Todo listo para enviar su solicitud? Por favor, lea la descripción al menos una vez antes de hacer clic en "Solicitar". Biome Makers is a global AgTech on a mission to restore soil health! We are a fun, multicultural and energetic team, composed of industry experts, top scientists, and talented engineers. We preserve the startup mindset of innovation and continue to bring solutions to tackle global challenges. Founded in California’s Silicon Valley in 2015, Biome Makers is setting the standard in soil health with BeCrop® technology. We integrate soil microbiology into agricultural decision-making to optimise farming practices and reverse the degradation of arable soils. With labs across the globe, customers on 4 continents, and 1M+ acres of land impacted, Biome Makers has revitalised soil functionality and agricultural sustainability worldwide. As an AI & Data Systems Engineer, you will bridge the gap between complex soil biology and scalable AI solutions. You won't just build models; you will architect the Intelligence Layer of Biome Makers, integrating state-of-the-art Generative AI with our proprietary biological database to revolutionize how the world understands soil health. Location: Spain (remote) Duties & Responsibilities: • Design and deploy robust AI/ML pipelines, with a specific focus on Generative AI (LLMs) and Retrieval-Augmented Generation (RAG) to automate complex agronomic interpretations., • Lead the architectural transition towards a centralized, high-performance data repository, ensuring seamless data ingestion and normalization from heterogeneous global sources., • Build high-quality, open-source-ready Python tooling, ensuring reproducibility, containerization, and modern CI/CD/MLOps workflows., • Implement rigorous data-versioning strategies aligned with ISO 27001 standards, ensuring IP protection while enabling data enrichment., • Mentor the research team in software engineering best practices and lead the adoption of emerging AI technologies (e.g., Vertex AI, AWS Bedrock). Job Competencies & Personal Attributes: • MSc. or BSc. in Computer Science, AI, or a related quantitative field (required), • 5+ years of professional experience in software engineering, with expert-level Python (clean code, design patterns, testing) (required), • Proven experience developing and scaling algorithms in cloud environments (AWS/GCP) (required)., • Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and fine-tuning models., • Experience with Docker, Kubernetes, and automated deployment pipelines for ML models., • Practical experience in database design (SQL/NoSQL) and managing complex Data Warehouses., • While biology knowledge is a plus, a strong curiosity for Agriculture and its environmental impact is essential., • Fluent in English and Spanish (oral and written), capable of translating technical AI concepts for non-technical stakeholders. Best Perks in the Industry • Competitive Salary, • Remote Work Environment, • Flexible Scheduling Hours, • Fridays pms off, • Coworking Spaces available, • Competitive & Quick Growth Path, • Professional Development & Education Opportunities, • Cross-department Support Biome Makers is an ecosystem. Our team specialises in soil science, agriculture, business, genetics, biotechnology, computer science, and much more. And we are located all over the world! We are a team with different nationalities: Spain, USA, Canada, France, Argentina, and many other countries. We are a team focused on a final goal: To promote sustainable agriculture worldwide! Afterall, soil is alive. It harbours an abundance of life forms that breathe, grow, work together, respond to their environment, and perform functions on a community level. Like soil, at Biome Makers, we grow, work together, and perform many functions to support each other and the mission towards soil recovery. As part of our dedication to the diversity of our workforce, Biome Makers is an Equal Opportunity Employer. xcskxlj All qualified applicants will receive consideration for employment without regards to race, colour, religion, sex, national origin, disability, or veteran status. We'd love to hear from you!

Job Title: Battery Modelling Researcher (Physics-Based & AI Models) Location: Barcelona, Spain Position Overview We are seeking a highly motivated and skilled researcher to join our Smart Battery Unit in Barcelona. The successful candidate will work at the intersection of electrochemical modelling, data-driven methodologies, and real-world battery systems Los candidatos deben tomarse el tiempo de leer atentamente todos los elementos de este anuncio de empleo. Por favor, envíen su solicitud sin demora. This role is focused on the development of advanced battery models that can be translated from research environments into practical applications, including Battery Management Systems (BMS), edge devices, and cloud-based platforms. The candidate will contribute to cutting-edge national and European R&D projects, while supporting the transition of innovative modelling approaches into scalable, production-ready solutions Key Responsibilities • Develop and implement physics-based battery models, with a strong focus on electrochemical modelling (e.g., P2D and reduced-order models), • Design, develop, and validate data-driven and hybrid models for State of Charge (SoC), State of Health (SoH), and Remaining Useful Life (RUL) estimation, • Work with and extend frameworks such as PyBaMM for simulation and model development, • Translate advanced models into deployable solutions for BMS, including embedded (edge) and cloud-based architectures, • Analyse experimental and real-world battery data for model calibration and validation, • Contribute to the development of Digital Twins for battery systems, • Collaborate with multidisciplinary teams across Artificial Intelligence (AI), Internet of Things (IoT), and hardware domains, • Support proposal preparation and technical development in European R&D projects (e.g., Horizon Europe) Required Profile • Strong background in battery modelling, including:, • Electrochemical models (essential), • Physics-based modelling approaches, • Proficiency in Python for scientific computing, • Hands-on experience with PyBaMM, • Solid understanding of battery systems and Battery Management Systems (BMS), • Experience working with experimental data and model validation, • Degree in Electrical Engineering, Chemical Engineering, Physics, or a related field (MSc or PhD preferred), • Fluency in English (written and spoken). Spanish is much recommended Highly Valued Skills • Experience in data-driven models (Machine Learning / AI) applied to battery systems, • Knowledge of hybrid modelling approaches (physics-based + machine learning) or physics-informed models, • Experience deploying models on embedded systems or edge devices (e.g., microcontrollers, TensorFlow Lite), • Experience in battery characterization, • Familiarity in Digital Twin concepts and IoT platforms, • Experience in redox flow batteries or alternative chemistries beyond lithium-ion, • Previous involvement in European or national R&D collaborative projects What We Offer • Opportunity to work on state-of-the-art battery modelling bridging research and industrial deployment, • Exposure to the full technological stack, from electrochemistry to AI models and edge/cloud integration, • Participation in high-impact European innovation projects, • A collaborative and multidisciplinary working environment, • Flexible working conditions, including hybrid work arrangements About NVISION / Smart Battery Unit NVISION brings advanced R&D in IoT, Artificial Intelligence, and energy systems into real-world applications. xcskxlj Within the Smart Battery Unit, we focus on next-generation battery intelligence by combining physics-based modelling, AI, and digital platforms to enhance battery performance, safety, and lifetime across mobility and stationary applications We're looking for someone at +/-2h timezone from Barcelona (Spain, CET), for the sake of coordination and synergies with the team. NVISION will not provide VISA sponsorship as a general rule, but if the candidate is enough qualified it will be considered as an exception

Company Description: Aumente sus posibilidades de conseguir una entrevista leyendo la siguiente descripción general de este puesto antes de presentar su candidatura. Aistech Space is focused on generating affordable, recurrent, high resolution thermal imagery of the planet to provide a new perspective of Earth’s changing resources. The company is based in Barcelona and aims to revolutionize remote sensing for environmental monitoring and resource management. Our vision is focused on a key sentence: “See the Unseen, protect what matters most on Earth”. What you will do: Aistech Space is looking for a Scientist in Maritime Remote Sensing to lead the development and deployment of Machine Learning (ML) models focused on maritime applications using earth observation data in our Remote Sensing Team. You will be responsible for creating image processing chains, integrating external data, and developing models for vessel detection and maritime security. You will collaborate closely with data scientists and software developers to transition these models and derived products from prototype to seamless deployment, integrating them into internal tools, applications, operational products, and onboard satellite systems. The daily tasks to be achieved in this position are: • Integrate and deploy Machine Learning (ML) models, specifically including YOLO and Random Forest models., • Develop and maintain robust image processing chains for VIS, NIR, and Thermal Infrared (TIR) bands to create ML-ready datasets., • Develop, update, and maintain ML models, specifically focusing on vessel detection and other applications pertinent to maritime navigation and security., • Develop tools and automated pipelines for continuous model validation, monitoring, versioning, and retraining., • Collaborate with data scientists to move ML models from prototype to deployment, and with software developers to embed models into user-facing applications and internal tools., • Utilize expertise in geospatial data analytics to process imaging products, integrating external data (such as AIS) to enhance detection models and automate processing., • Create and maintain comprehensive technical documentation for deployment pipelines and operational models. Who you are: Must: • BSc/MSc in Engineering, Environmental Sciences, Physics, Mathematics or relevant degree., • Experience in working with remote sensing data in the thermal infrared region (e.g. Landsat, Aster, Sentinel-3, MODIS,...) (+3 years), • Experience in geospatial image processing using Python/R/Javascript (+3 years), • Experience with vessel detection or marine applications using remote sensing technologies. (+ 3 years), • Proficiency in processing Synthetic Aperture Radar (SAR) data, including platforms like Sentinel-1., • Knowledge of data structures to accommodate both vector and raster geospatial datasets into ingestion pipelines for a geospatial platform., • Fluency in English. Nice to have: • Knowledge of relational and/or NoSQL database technologies., • Knowledge of APIs for data acquisition and data dissemination., • Knowledge of Agile methodologies. What You’ll Gain by Joining Us Be part of a passionate, collaborative, and respectful team. Enjoy a stable, permanent contract with a fast-growing company. Flexible working hours and hybrid work: 6 days/month from home. Competitive salary and flexible retribution through Cobee. Free access to paddle tennis courts and an on-site gym. Daily fresh fruit and coffee to keep you energized. Work in an international, diverse environment. 23 vacation days, plus Birthday, December 24 & 31 off. Where you will be: You will be working in the Barcelona HQ in Sant Cugat. To be considered for this position, you must already have the legal right to work in the European Union. We are unable to provide visa sponsorship. xcskxlj Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

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Auditor/a de Pesca Sostenible (MSC Fisheries y otras normas). Conocimientos técnicos: Proporcionar orientación y apoyo al equipo interno y a los expertos contratados sobre las normas del MSC y los requisitos del proceso. Control de calidad: Revisar los informes de evaluación de pesquerías para g

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Neotalent Conclusion es una de las mayores especialistas del mercado ibérico en captación y gestión de talento informático y de ingeniería.Como parte del grupo neerlandés Conclusion, que se compone por un ecosistema de 25 empresas y 3.En Neotalent Conclusion, somos especialistas del talento.At

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Grupo Trigo es una empresa multinacional que ofrecemos soluciones integrales de calidad, desde acciones correctivas hasta acciones preventivas.Nuestro objetivo es evitar posibles no conformidades de calidad durante los procesos de fabricación y mantener una producción óptima.Está formada por un

L'Auditori ha obert una convocatòria per incorporar a un/a Responsable Tècnic del Departament de Manteniment, Infraestructures i TIC.Les bases de la convocatòria es poden consultar al web de L’Auditori, a l’apartat “Treballa amb nosaltres.Les característiques de la convocatòria són les s

Junior Scientific Project Manager – Publications (Inflammation Area).We are looking for a motivated and detail-oriented Junior Scientific Project Manager – Publications with experience in the Inflammation therapeutic area to join an international healthcare environment and support the coordinati

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