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, transcriptomes and epigenomes at an unprecedented level of resolution. To harness the full potential of these developments, new computational methods specifically tailored towards the analysis of single-cell omics
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immunology, specifically on Marginal Zone (MZ) B cells. Project Overview: The successful candidate will contribute to an NIH-funded project aimed at understanding the development and maintenance of Marginal
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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and be creative. With the help of extensive and goal-orientated professional development measures and career-building programmes we encourage you to grow as a person. To ensure a good work/life balance
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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01.07.2024, Wissenschaftliches Personal The Bavarian Center for Biomolecular Mass Spectrometry is looking for a staff scientist bioinformatics to process metabolomics and proteomics data, to develop
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to the road? Then this position is just right for you! About us In the Autonomous Vehicle Lab, we develop the vehicle of the future with intelligent algorithms and methods. We are involved in numerous projects
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research & development projects in the area of Scaling Agile IT Organizations Contribution to Software Engineering and Strategic IT Management education at the Bachelor's and Master's level Supervision
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08.04.2022, Wissenschaftliches Personal Development of Lattice-Boltzmann solver, programming in C/C++ and CUDA, implementation on GPU cluster, testing of real-time capable software on flight
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interdisciplinary team of research and industry, you will develop solutions for future mobility systems. Motivation The future of mobility is connected, autonomous, shared, and electrified! These building blocks form