81 computer-science-intern "https:" "https:" "https:" "https:" uni jobs at Technical University of Munich
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/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq analysis - interest in biological applications - passion for science and
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. The Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS) is a science and technology platform of TUM providing state-of-the-art proteomics, metabolomics and bioinformatics tools for application in
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10.05.2024, Academic staff The Munich Institute of Integrated Materials, Energy and Process Engineering (MEP), based in Garching, is an integrative research center that combines the areas of 4D
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27.06.2023, Academic staff Gesucht wird ein*e wissenschaftliche*r Mitarbeiter*in, für die Lehre im Bachelor Gesundheitswissenschaften und internationalen englischsprachigen Master of Science in
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scientist with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related field Experience in applied data science and machine
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appointment of the Technical University of Munich and the Remote Sensing Technology Institute of the German Aerospace Center (DLR). It engages with the development and fundamental research of computer vision
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technical field, such as mechanical engineering, computer science, transportation systems, or civil/environmental engineering with a focus on traffic engineering, with very good grades. You bring solid
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to your application: curriculum vitae, references and certificates, two letters of recommendation and a letter of motivation detailing your fit. Link to online advertisement and application portal: https
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for benchmarking, HPDA/HPC support, and education (e.g. MOOCs, organizing workshops, facilitating community building). Requirements: Completed university degree in computer science or applied mathematics, remote
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, or business informatics, • ideally has academic or practical experience in the field of entrepreneurship and/or family business, • possesses solid knowledge of empirical research methods, ideally in