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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine, network analytics, AI, ML
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rigorously. Develop, implement, and optimize signal and image processing algorithms using appropriate programming environments and computational tools. Contribute to the definition of system
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The German Institute for Global and Area Studies (GIGA) / Leibniz-Institut für Globale und Regionale Studien is an independent social-science research institute based in Hamburg. It analyses
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Center (HT- RDS Center). The applicant would be responsible for designing and developing workflows for automated, micro-scale parallel experimentation. These workflows will be used for the
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massively parallel computing systems, including GPU-accelerated platforms. Develop and maintain scientific software, primarily in Python , using modern practices for software development, testing
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and delay-differential equations. Scientific computing and numerical analysis Large-scale dynamical systems High-performance computing Parallel numerical algorithms GPU computing Strong programming
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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candidate will have extensive experience with mathematical optimization formulations and algorithms and their application to physical systems. Additionally, the candidate will be familiar with parallel
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
. Our long-standing analysis program focuses on exploring the properties of the Higgs boson and searching for physics phenomena beyond the Standard Model. In parallel, the group is engaged in hardware
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NVIDIA Nsight, rocProfiler, or similar. Strong understanding of parallel programming with MPI, OpenMP, and GPU-based programming models. Experience working on national or international supercomputing