1,374 computer-science-intern-"https:"-"https:"-"https:"-"IRIBHM-ULB" Postdoctoral positions in United States
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state-of-the-art verification techniques and tools for scientific software. The project is part of a program, sponsored by the U.S. Department of Energy and the U.S. National Science Foundation, named
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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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, dissemination and implementation science, and/or economic evaluation; prepares oral presentations for national and international scientific conferences, workshops, and seminars; writes and submits manuscripts
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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 natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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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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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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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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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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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