3,244 computer-science-intern-"https:"-"https:"-"https:"-"CUBO" Postdoctoral positions
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international collaboration partners Support and administer internal web and Linux servers Your Profile Academic degree (master's and Ph.D.) with a background in computer science, bioinformatics, physics
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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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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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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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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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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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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social science to join us in advancing real-time analyses of political and health-related audiovisual and textual messages using computational methods. WMP leverages large-scale advertising and media
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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