1,099 Computer-Science-"https:"-"https:"-"https:" Postdoctoral positions in computer-science
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ideal for someone who enjoys working at the intersection of data science, machine learning, materials research, and experiment, and who is motivated to translate computational advances into real
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 6 days ago
Program Description Think beyond the limits! Do you have an ambitious research idea that you wish to pursue in your postdoc? Are you interested in theoretical or computational science in
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Position Summary: Postdoctoral Researcher/Instructor in Computer Science at Yeshiva College Position Responsibilities: This is a one-year, renewable, postdoc in C.S. Candidates are welcome to bring
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through three schools: Civil, Environmental and Chemical Engineering Computer Science, Electrical and Biomedical Engineering Mechanical, Aerospace, Industrial and Material Science Engineering Our
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seeking candidates to apply to the DOE Science, Technology, and Policy (STP) Fellowship Program via the U.S. Department of Energy's (DOE) Workforce Readiness Accelerator for Major Projects (RAMP) program
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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Computing and Mathematical Sciences Division - Postdoctoral Researcher: CryoSTEM Foundation Models Mohamed bin Zayed University of Artificial Intelligence Location Abu Dhabi, UAE Open Date Jul 14
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. Qualifications Essential Qualifications: PhD in computer science/engineering with expertise in a security or privacy research topic. Less than 5 years post-receiving the Doctoral degree. Excellent analytic, design
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About us The researcher will join the Human-Centred Computing (HCC) group at King’s at the Department of Informatics, which provides a supportive and collaborative environment and an exciting mix
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-performance computing, scientific modeling, and domain-informed AI to accelerate discovery across DOE mission areas such as energy, materials, biology, nuclear science, autonomous laboratories, and scientific