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description: The Scientific Computing Center is the Information Technology Center of KIT. The Research Group Exascale Algorithm Engineering of SCC works at the interface of algorithmics, parallel computing, and
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training and inference of GMMs for large, high-dimensional datasets Explore parallelization strategies to leverage modern GPU architectures Benchmark GPU-based implementations against CPU-based approaches
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skills Confident working in dynamic environments with a focus on efficiency and prioritizing parallel projects What you can expect Fascinating challenges in a scientific and entrepreneurial setting
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 11 days ago
to minimize training effort # Devise appropriate metrics to evaluate and tune trained models with respect to reproduction of key physical results # Contribute to a parallel training workflow to stream data from
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cell types. Optimize 3D CAD designs for precision and parallel measurements. Evaluate the feasibility of integrating the probe system onto a robotic end-effector and design suitable mechanical and
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build reliable, reproducible data flows for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely
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sintering press with selected copper pastes, followed by detailed characterization of the resulting interfaces in terms of porosity, thermal and mechanical integrity. In parallel, simulation models will be
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possible. What you will do You will be trained step by step in plant operation and actively support ongoing production processes. You will support the execution of quality controls in parallel with
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for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely with industry partners and public agencies
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interested in the position, please submit your application by 17.12.2025 via our application portal and in parallel by e-mail to the President of the Fraunhofer-Gesellschaft, Professor Dr.-Ing. Holger Hanselka