205 parallel-processing-bioinformatics positions at Technical University of Munich in Germany
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efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation
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tools? This research area sits at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Software Engineering (SE). The goal is to design and evaluate new interaction
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partners (like Google, Google.org, SAP, Merck, TUM Klinikum, Holtzbrinck). Work with a state-of-the-art technology stack, DevSecOp pipeline, and SE processes. Work on cutting-edge medical AI use cases with
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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international conferences Application process We look forward to receiving your detailed application by 7 September 2025. Please submit the following documents as a single PDF file via e-mail to bewerbungen.cdt
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Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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the collection and processing of personal data as part of your application: https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application, you confirm that you have read and understood
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ecosystems, and how they respond to anthropogenic climate and land-use change. Leveraging advanced data-driven and process-based modelling approaches, the center will improve our understanding of the Earth