599 engineering-computation "https:" "https:" "https:" Postdoctoral positions in United States
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, United States of America [map ] Subject Areas: Materials Science / Engineering , Advanced Energy Materials , Energy science , Materials by design , Mechanical Engineering Appl Deadline: (posted 2025/11/05, listed until
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innovations, and connect their work to the broader community. This unique program is open to all current PhD students at Tandon School of Engineering who will defend their dissertations by September 1, 2026
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include: Protein engineering Optical system development High-throughput screening Electrophysiology Computational approaches This position offers the opportunity to develop cutting-edge molecular
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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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Posting Details Posting Details Posting Number S06752P Position Title Postdoctoral Research Associate Functional Title Postdoctoral Research Associate Department Materials Science and Engineering
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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engineering, hydrology, computational sciences, systems modeling, applied mathematics, or a related field. Preferred Qualifications: Demonstrated expertise in quantitative modeling and data analysis