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increasingly important, but also more complex, due to rising demands on performance, precision, quality, and sustainability. Bayesian optimization (BO) - a special machine learning approach - represents a
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institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex
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in the field of laser technology. In close co-operation with partners from industry and research, the Fraunhofer ILT is working, among other things, on the further development of the additive
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budget positions and the provision of extensive funds for high performance computing. The cross-sectional unit is to be managed by the professorship. Tasks The professorship is responsible for the content
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on them Work on the design, development and operation of GPU and compute cluster systems together with an interactive team Serve as the first point of contact for users for help or problem analysis and
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years' professional experience the chance to take a postgraduate or Master's degree at a state or state-recognised German university, and in exceptional cases to take a doctoral degree, and to obtain a
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management activities, including financial and personnel allocations and preparation of financial and scientific reports, of intramural projects and projects externally funded by German, European and
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performance under hardware constraints, evaluating trade-offs between efficiency and accuracy Collaborate with interdisciplinary teams to adapt and optimize neural network architectures for specific hardware
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The »High-Performance Cutting « department develops technologies and application-oriented solutions for cutting along the entire process chain - from process design and pre-process simulation
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an excellent opportunity to gain hands-on experience with advanced Software-Defined Radio (SDR) devices, RF measurements with high-end measurement instruments. For highly motivated students, this work can be