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. • Experience with the analysis of mRNA transcriptomic data sets, in particular with single-cell RNA-seq data analysis pipelines (Seurat, Scanpy). • You are a highly motivated scientist with the drive to develop
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the possibility of an extension. TASKS: Mathematical modeling and development of inverse methods (e.g. Bayesian inversion, optimization based methods, sparsity promoting methods based on L1-norm minimization and
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team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
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Requirements University degree with at least a doctorate (PhD) or higher Outstanding scientific achievements Innovative and original research project 2 letters of reference Existing collaborative relationships
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24.02.2022, Wissenschaftliches Personal The Munich Quantum Valley aims at developing a full quantum computing stack, from the application level to the physical quantum hardware. Within
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10.03.2023, Wissenschaftliches Personal We are looking for a motivated Ph.D. student or post-doc interested in developing novel processes that boost the production of bio-based liquid fuels and
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scientific work. After an orientation period, you will have the opportunity to take over the leadership of a team in the EV Lab. Your professional and private development is very important to us and will be
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and challenges of digital transformation, and develop perspectives for practice. The funding programme is open to excellent scholars and practitioners, to all disciplines and areas of investigation, as
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quantum networks” (TV-L E13) (f/m/x) for the project "6G and Quantum Technology (6GQT)", which is being funded by the Bavarian State Ministry of Economic Affairs, Regional Development and Energy. ). The
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. The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is located at Klinikum Rechts der Isar, the university hospital of TUM, in the institute of radiology. We are affiliated with