72 parallel-processing-bioinformatics-"Multiple" uni jobs at Technical University of Munich in Germany
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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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, metabolomics and bioinformatics tools for application in biology, medicine, plant and food research within TUM and research partners outside the university. For the bioinformatics branch of this core facility
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Technologie und exzellenten Entwicklungsmöglichkeiten. 👉 Alle Details finden Sie in der PDF im Anhang. We are offering a PhD position in Translational Neurogenetics at TUM (Neurology) and MGZ (Bioinformatics
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important for many emerging applications. In additive metal manufacturing, melting and solidification are the basics of the printing process. Still, laser-induced vaporization and the formation of keyhole
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research funding • Strong organizational and management skills, with the ability to manage multiple tasks in parallel • Excellent analytical skills and ability to present interdisciplinary research
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31.03.2025, Wissenschaftliches Personal Scientist with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass spectrometry Our team is looking
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between the fields of computer sciences and architecture. The focus lies mainly on Building Information Modelling, decision-support methods in urban planning and knowledge-based design methods. As part of
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10.05.2024, Wissenschaftliches Personal The Munich Institute of Integrated Materials, Energy and Process Engineering (MEP), based in Garching, is an integrative research center that combines
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phenotypic and genotypic analysis of newly generated overexpression and CRISPR-Cas9 knockout lines with infection assays, microscopy, proteomics, and bioinformatics, aiming to further elucidate the molecular
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transplantation and inflammatory diseases. We have scRNAseq data sets from 10x Genomics available and need you for data analysis using already implemented bioinformatic pipelines. This project is part of our ERC