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HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly
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cases treated in molecular tumor boards. Develop and implement bioinformatics pipelines to identify biomarkers and therapeutic targets. Collaborate with clinicians and researchers to translate
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conventional electrolytes. This position is part of the Einstein Visiting Fellowship of Professor Mark. E. Tuckerman from New York University, and the project will be in collaboration with Professor Tuckerman
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protein biochemistry, single particle cryo-EM or cryo-ET is an asset, curiosity and willingness to learn new methods and adjust to technological developments a must. Strong written and oral
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learning paradims Implementation of algorithms developed in the project and evaluation of their performance Collaboration with in the COMFORT project with other partners in Germany as well as international
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the Life Science Campus Heidelberg & Mannheim within the collaborative MULTI-SPACE initiative. Your tasks: Operate and maintain the new MSI platform (Bruker timsTOF fleX MALDI-2) including quality control
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and clinical translation. Supported by the Carl Zeiss Foundation , an ERC Starting Grant , and the DFG Emmy Noether Program, our lab provides a highly collaborative and interdisciplinary environment
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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cardiovascular simulations, especially with regard to the estimation of biomarkers for image-based diagnostics. The project is a collaboration between WIAS (Research Group “Numerical Mathematics and Scientific
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computational tools to evaluate models of biological and artificial vision, as part of the DFG-funded Collaborative Research Center (CRC) “Robust Vision” at the University of Tübingen. This is a unique