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Job Description If your background is in machine learning (ML) and you have a desire to make discoveries in health sciences, then this position as Postdoc is your possibility. In this collaboration
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at Brigham and Women’s Hospital and Harvard Medical School are jointly seeking highly motivated postdoctoral fellows with a passion for computational biology and neurogenomics. The positions offer a minimal
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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spintronic-based computing. The position offers an exciting opportunity to join a cutting-edge research project focusing on the co-design of CMOS and spintronic devices for next-generation energy-efficient and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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related to your research area. Responsibilities and qualifications We seek to recruit a Postdoc with expertise in the emerging edge computing areas of Embedded AI, Edge AI, TinyML or AIoT. The position is
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage