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Harvard Brain Science Initiative: HBI Postdoctoral Pioneers Program Deadline Month: October (LOI) and November (full application) Description: Harvard Brain Science Initiative (HBI) aims to support
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Ref no: ORU 2.1.1-01454/2026 We are looking for a postdoctoral researcher in Computer Science for a fixed-term position at the School of Science and Technology. Subject area The subject area for
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interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address
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interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address
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rolling basis. Description The Department of Energy (DOE) Science, Technology, and Policy (STP) Program provides an opportunity for students, postgraduates, and faculty to engage in programs, projects, and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 4 days ago
) into safety endpoints (such as cardiotoxicity, immunogenicity, etc.) Learning Objectives: As a participant, you will have structured learning opportunities in regulatory science, computational toxicology, and
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chemistry and experience with quantum chemistry packages (e.g., Molpro, NWChem) Strong skills in developing and implementing computational and numerical methods; familiarity with parallel computing on CPU/GPU
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Job Description DEPARTMENT OF COMPUTER SCIENCE Research Assistant Professor in Computer Science (3 vacancies) (23240526) The Department presently offers BSc, MSc, MPhil, and PhD programmes, and is
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Job Description DEPARTMENT OF COMPUTER SCIENCE Research Assistant Professor in Computer Science (3 vacancies) (23240021) The Department presently offers BSc, MSc, MPhil, and PhD programmes, and is
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https