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Field
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computing and machine learning. The research will emphasize both theoretical advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more
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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing (HPC
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This post-doctorate is part of the ANR DEEP-SENS (Demystifying
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good programming skills in either Matlab or Python and the willingness to program in both languages. Programming experience in C++ is benefical as is experience with CUDA/parallelization (OpenMP
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39 Faculty of Computer Science Startdate: 01.10.2025 | Working hours: 34 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2028 Reference no.: 4640 Explore and
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(RTP) by metal-free compounds and double thermally activated delayed fluorescence (TADF) from single molecules. Work assignments The proposed postdoc project among others will include computational
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Recognised Researcher (R2) Positions Postdoc Positions Country Italy Application Deadline 13 Nov 2025 - 23:59 (Europe/Rome) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded
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(FFL) program. Your major responsibilities as postdoc are to pursue your own research. This includes developing scientific concepts and communicating research results verbally and in writing
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Experience in machine learning techniques Postdoc 3: Experience in the computation and analysis of hydrodynamic cosmological simulations of galaxy formation and evolution Experience in simulations