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ph3Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program /h3 pWe are currently seeking a Postdoctoral researcher in marine ecosystems modelling to join our Marine and Continental Waters Program team located in La Ràpita (Tarragona), offering a great opportunity to work in a dynamic and collaborative environment within our organization. /p pMotivated candidates with relevant research experience willing to conduct modelling in marine ecosystems are invited to apply. The researcher will focus on aspects such as the study of nutrients, pollutants, natural contaminants, microalgal populations and Harmful Algal Blooms (HABs) in marine coastal areas, impacting the ecosystems and food safety. /p h3Tasks and Responsibilities /h3 ul liConduct a literature review and data collection related to coastal oceanography, nutrients, pollutants and HAB dynamics. /li liConduct data analysis and predictive models on the occurrence of nutrients, pollutants and microalgal populations, studying their dynamics under current climate change scenarios with the aim of predicting and adopting preventive measures. /li liAnalyze data impact on ecosystems and food safety. /li liContribute to the activities of the research program, performing scientific and technical tasks, taking part in the planning and execution of project activities to ensure achievement of milestones. /li liContribute to the scientific production of the research and innovation activities of the Program. /li liLead and actively contribute the reporting process, such as writing progress and final reports of research activities. /li liIdentify opportunities for cutting‑edge research and innovation to address strategic priorities of the Marine and Continental Waters Program. /li liContribute to the teamwork and team‑spirit, fostering collaboration and integration activities. /li /ul h3Required qualifications and experience /h3 ul liPh.D. in Marine Sciences, Marine Ecology, Statistics, Biology or related fields applied to environmental studies, with experience in the research topic, preferably with an international scope. /li liData analysis and modelling, handling of statistical software (R, Python or equivalent). /li liProven research skills: experience on project proposal writing, literature review, experimental design and implementation, data analysis, scientific article writing. /li liDissemination skills: presentation and communication skills, and technical writing. /li liCapacity to successfully develop collaborative research links with national and international research organizations. /li liStrong teamwork skills, ability to adapt to multidisciplinary environments and a focus on professional growth and development. /li liProficiency in English. /li liExpertise in methodological approaches for data analysis involving nutrients, pollutants, microalgal populations of planktonic and benthic ecosystems. /li liExperience in oceanographic studies, involving population dynamics studies and trophic web interactions. /li liKnowledge of machine learning and AI algorithms and methods. /li liKnowledge of species distribution models. /li liCatalan and Spanish are valued. /li /ul h3Advantages of joining our team /h3 ul liContract: temporary position for 3 years. /li li37.5 hour workweek, with Friday afternoons off. /li liIntensive work schedule from 15/06 to 15/09. /li li3 days of family work conciliation. /li li45 hours of personal days. /li liFlexible schedule for a good work‑life balance. /li liContinuous training and professional growth opportunities. /li /ul h3Instructions to Apply /h3 pIf you wish to be considered for this position and believe you meet the requirements, please send your CV and motivation letter. /p pEqual treatment and opportunities are guaranteed for all candidates in the selection process, avoiding any stereotypes, attitudes, or obstacles based on gender, origin, age, ideology or other potentially discriminatory conditions. Prior commitments to the inclusion of vulnerable groups are considered, with priority given in the first round to disabled candidates. /p /p #J-18808-Ljbffr