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, molecular biology, bioinformatics, or related fields. Experience in at least one of the following areas: cell and/or molecular biology, biochemistry, biotechnology, bioinformatics. Demonstrated interest in
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Description Apply for PhD positions in structural, molecular, cellular and developmental biology, bioinformatics, genomics, evolutionary biology, and more. Are you passionate about uncovering the
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at specific times and locations in order to support specialized functions such as metabolism or injury repair. Highlighting the importance of this process, alterations in RNP granules have been linked to ALS
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Assistant (m/w/d), Post-Doc, EG 13 TV-H, fixed term-position, part-time (currently 32 hours per week) Assessment of values-based interventions in transdisciplinary processes for sustainability transformations
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: Research Assistant (m/f/d), Post-Doc, EG 13 TV-H, fixed term-position, part-time (currently 32 hours per week) Evaluation of transdisciplinary processes for sustainability transformations Part time position
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
, is a prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex
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engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and
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technologies Proficiency in English Experience in parallel training of large DL models is a plus While the position will be a team effort, it is a multicenter project and thus independence and capability
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of this process, alterations in RNP granules have been linked to ALS pathogenesis and MN degeneration. Thus, a better understanding of RNP granules could lead to novel therapeutics to protect MN axons against
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on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training and optimizing the execution User support in