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; PyTorch; parallel and GPU computing Applicant Profile The internship is intended for a final-year Master’s student or engineering student specialising in applied mathematics, signal processing or
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Experience in multiphysics modeling Experience in parallel programming on large-scale computational clusters Expertise in Matlab programming Active TS/SCI Clearance is preferred Special Requirements
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Scientific Employee (f/m/d) on the 'HPC-RSE-Nexus' project / Completed university studies (Master...
programming parallel algorithms using MPI and CUDA # Knowledge of installing, optimizing, and benchmarking scientific applications on HPC systems # Fluent in spoken and written German and English Our
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engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated
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Python programming and experience with a major deep-learning framework such as PyTorch or TensorFlow; experience with MATLAB, C++, GPU computing, or parallel processing is advantageous. Experience with 3D
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field, specifically new theoretical results from the supervisory team and parallel breakthroughs on the maximally nilpotent cases. You will not only prove mathematical theorems; you will implement your
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Storage Scale) parallel file system, to keep research computing services reliable and performant. Contribute to the build, deployment, and operations of a new NIST 800-171–compliant secure research
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, ecology, microbiology, engineering, bioinformatics, data mining, parallel programming, supercomputing, or cloud computing. Application Instructions How To Apply Interested individuals should send
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following topics open: Multi-Stack Handling – Safe cooperation and activation of multiple parallel driving stacks. Runtime Risk Assessment – Continuous evaluation of driving risk at runtime. Supervisor
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programming (Stata, with opportunities for R or Python) Study design and analytic methods (cross-sectional, longitudinal, quasi-experimental designs) Manuscript preparation and scientific writing