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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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prepare thin films and investigate the film morphologies using optical microscopy, atomic force microscopy (AFM) and grazing-incidence small-angle X-ray scattering (GISAXS) at the synchrotron, also in situ
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, giving quantitative insight into physical processes at the nanoscale. The candidate will develop the next generation of neural network potentials and apply them to problems from different scientific fields
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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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working in an interdisciplinary research team? Are you interested in developing your own research topic in this context for the completion of a PhD degree? If so, we invite you to become part of VAULT-AI
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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