2,874 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions
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The Duarte Group works at the forefront of computational chemistry, developing predictive tools for reaction modelling and molecular design across catalysis, sustainability, and health. Alongside
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The Data Science Learning Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge computational and systems biology research. The primary focus
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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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of Mathematics and Computer Science, which provides a vibrant, inspiring, collaborative, and highly international environment for your work. Due to the postdoctoral appointment nature as a career-development
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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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to apply for a faculty or staff position, please review this tip sheet . The Department of Informatics and Health Data Science has an exciting opportunity for a full-time Postdoctoral Scholar to work on the
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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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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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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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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