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Postdoctoral Fellowship in AI and Large Language Models for Transforming Pediatric Healthcare The Computational Health Informatics Program (CHIP) at Boston Children's Hospital, affiliated with
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Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in
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computational materials science techniques (DFT, MD, machine learning force field modelling) with data-driven approaches. Work with team to design and implement high-throughput experimental workflows for rapid
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decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
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lab group meeting (journal readings, in progress research talks, visiting speakers), and helping affiliated PhD and undergraduate students gain access to and work with the Cebu data. The Postdoc will
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a multidisciplinary team under the guidance of Brijesh Dongol (PI) and Gregory Chockler (co-I), as well as a large team of academics (Imperial, Kent, Sheffield, MPI-SWS, Cornell, IMDEA, etc) and
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decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
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multidisciplinary team of eminent scientists and entrepreneurs. The successful applicant will have: A PhD in food science, food technology, biotechnology, protein chemistry, or related disciplines. Background in
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Stig Brøndbo 15th May 2025 Languages English English English Faculty of Science and Technology PhD Fellow in skill adaptations for remotely controlled and autonomous ship operations Apply
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ground-based sources (including Galah/APOGEE/LAMOST). Develop and apply software analysis tools for the analysis, and merging, of large multi-dimensional data sets (time series and single epoch). Publish