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Job Summary Location: Piscataway, NJ With 17 years of success behind us, Frensco Building Products is looking for a responsible, reliable, and punctual full-time local Class A CDL Driver. The Delivery Driver is responsible for the safe and timely delivery of pre-sold products. The Delivery Driver must understand all company policies and procedures of said delivery. The Delivery Driver should have familiarity with the 5 Boroughs of New York City. This position reports directly to the Warehouse Manager or Director of Operations. Join Frensco Building Products where we provide opportunity, commitment, caring and respect, and strive to be better each day. Apply today! Delivery Driver Responsibilities & Duties: • Professionalism, • Industry Leading Customer Service, • Vehicle and Department of Transportation (DOT), • Follow Safety Policies & Procedures, • Daily pre and post safety checks & inspections of delivery vehicle, • Perform routine maintenance of assigned vehicle (i.e., check fluids, lights, etc.), • Load and Unload, • Safely load and unload vehicle with designated products, • Securing the vehicle, equipment, and product inventory, • Limit movement of product on flatbed, • Obtain appropriate signatures from customers to verify receipts of delivered products., • Ability to lift and maneuver a minimum of 100 pounds for delivery of items., • Repetitive heavy lifting, bending, pulling, and pushing., • Minimize Breakage Delivery Driver (Class A) Qualifications & Requirements: • Must be eligible to work in the United States, • Must possess and maintain a Commercial Class A Driver’s License, • Experience with Manual & Automatic transmissions, • Responsible for daily paperwork and proper completion of all company documents, • Ability to communicate effectively with customers in a professional manner., • Ability to maintain the highest level of customer service in all aspects of the job., • Knowledge of company objectives, • Comfortable in a fast-paced dynamic environment, • Understands the importance of detail and accuracy., • Ability to work well in a team environment and is always willing to assist others., • Ability to anticipate and solve practical problems or resolve issues., • Product Knowledge – Must understand the entire company portfolio or willing to learn. Certificates, Licenses, Registrations: • Class A CDL, • 3 years of tractor-trailer driving experience within the last year, • Driving record must remain free of significant violations and meet company policies and standards., • Drivers must maintain a valid DOT medical certification. Education and Experience: • Safety First Attitude, With a Proven Driving Record, • High School Diploma or GED required.

Overview: Rutgers, The State University of New Jersey, is seeking a Postdoctoral Associate for the Division of Acute Care Surgery at the Robert Wood Johnson Medical School. Project AiCCESS, under the direction of Dr. Mayur Narayan (Principal Investigator) is building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images, intraoperative video, OR traffic signals, EHR data, and patient/surgeon surveys with explainability and equity at its core. We seek a Computer Science Postdoctoral Associate (Postdoc) to lead vision–text transformer modeling and interpretable, clinically aligned AI for this multimodal platform, working alongside surgeons, infectious disease experts, and ML faculty. In addition to Rutgers-based mentorship, the Postdoc will collaborate closely with lead computer scientists across our partner institutions—including Stanford, the University of Florida, and Weill Cornell Medicine—along with other academic and industry collaborators through co-mentorship, cross-institution model reviews, and shared code/MLOps standards. The Postdoc is expected to maintain a high level of communication with the PI and primary mentorship team as described in the BMIHAI PAIR grant. Candidates must hold a PhD in Computer Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with transformer architectures (e.g., ViT/TimeSformer, CLIP/BLIP or similar) in PyTorch, including scalable training on GPUs and reproducible experimentation. Demonstrated experience building explainable models (e.g., concept bottlenecks, prototype/contrastive methods, attribution) and evaluating calibration and uncertainty is essential. Strong software engineering skills—Python, Git, unit testing, experiment tracking—and fluency with containerization (Docker) and basic cloud workflows are expected, alongside excellent communication and cross-disciplinary collaboration with clinical teams. The Postdoc will participate in lab meetings, research in progress seminars, and presentations at conferences. They will prepare manuscripts based on their research, aid in developing the PI’s grant applications, and will be expected to apply for personal grant funding. Multiple resources for career development to aid with these requirements will be provided by the PI and the Office of Postdoctoral Affairs. Among the key duties of this position are the following: • Design and train vision–text transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components for longitudinal risk trajectories., • Build robust fairness and skin-tone–aware pipelines (Fitzpatrick spectrum robustness, augmentation, bias audits)., • Partner with annotation teams using Encord (video) and our SegmentCare image labels; shape active-learning loops and QC., • Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker, • Ensure all members of the lab are in compliance with the necessary trainings (both at the lab and institutional level)., • Keep up to date on the relevant literature in both peer-reviewed and preprint form.