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collaborators. We believe that cooperation and collegiality are essential elements for research successes. You can find more information about the team and our work here: https://www.bric.ku.dk/research
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The Chinese University of Hong Kong, Shenzhen | Eastern Shores, KwaZulu-Natal | South Africa | 17 days ago
massive GPU clusters and high-performance computing. Guaranteed Talent Pipeline: Generous, guaranteed quotas for PhD students and postdoctoral fellows. Premier Platforms: Access to 120+ research
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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. Develop reconstruction, simulation, and analysis software using modern C++, Python, ROOT, and HPC/Grid computing resources for processing multi-petabyte experimental datasets. Develop and apply state-of
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to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR
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experimentation. Familiarity with distributed or accelerated computing environments (e.g., GPU-enabled systems, shared compute clusters ). Working knowledge of database systems, including: Relational databases (e.g
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team and supported by cutting-edge HPC and GPU infrastructure, you will contribute to internationally leading research, publish in high-impact journals and present your work at major scientific
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HPC and GPU infrastructure, you will contribute to internationally leading research, publish in high-impact journals and present your work at major scientific conferences. About You You will be
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distributed or accelerated computing environments (e.g., GPU‑enabled systems, shared compute clusters ). Working knowledge of database systems, including: Relational databases (e.g., PostgreSQL / SQL
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, spin-boson models, neural or threshold dynamics, or analogue/digital quantum simulation. 3. Experience with high-performance computing, GPU acceleration, automated benchmarking or large-scale