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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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computing (HPC) systems, including GPUs, and programming, such as using CUDA, MPI, AI/ML/DL, and advanced debuggers and performance analyzers. Familiarity with working on open-source projects. About UF
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Biology in Leuven (www.aertslab.org), led by VIB.AI Scientific Director Stein Aerts, is seeking a highly motivated PhD candidate to study how gene-regulatory programs give rise to neuronal phenotypes. In
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational physics
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 19 days ago
Research Framework Programme? Not funded by a EU programme Reference Number 2026-09787 Is the Job related to staff position within a Research Infrastructure? No Offer Description Thanks to advances in space
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Mathematics, or a related quantitative discipline. Strong programming skills in C++, Python, MATLAB, or similar languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in
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members in designing and integrating solutions into the AI(X) compute, software and data infrastructure stack, hardening these solutions, testing these on modern high-performance GPU compute clusters, and
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2027 - 03:31 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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qualifications Experience with high-order or nonlinear scattering reconstruction methods for imaging thick and strongly scattering samples. Experience in high-performance computing, parallel programming, or GPU
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) in program-matic way Experience with molecular dynamics simulation packages (AMBER, NAMD, GROMACS) Familiarity with high-performance computing or GPU-accelerated simulations Interest in close