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technologies (10x Genomics, BD Rhapsody) and high-dimensional flow cytometry to unravel the dynamics of the human immune system. We look for a motivated bioinformatician/computational scientist or postdoctoral
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system towards a dynamic, supply- and demand-driven approach, often organized in local energy communities with a high penetration of renewable resources. Power grids are critical infrastructure requiring
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« »Transport Processes« »Image Processing« »High Performance Computing« »Financial Mathematics« »Materials Characterization and Testing« What you bring to the table The requirements for your field of activity
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Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
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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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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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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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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