57 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at Technical University of Munich in Germany
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graph processing frameworks, graph databases, graph learning frameworks, knowledge graph systems, and graph mining systems. While each of them is specialized on a specific type of task and is highly
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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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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personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection
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Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing
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Engineering, Computer Engineering, Computer Science, or a closely related field Strong background in robotics fundamentals: kinematics, dynamics, control, planning Proficiency in programming (C++, Python), and
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University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation
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Spohn, Simone Warzel and Michael Wolf See our website for further details: www.trr352.de Application Process: Please first contact one of our PIs in your field of expertise to obtain their commitment and
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flow within cerebral aneurysms. Arterial geometries are derived from medical scans (e.g., CT) of real patients, which are suitably meshed and processed for numerical treatment using Lattice-Boltzmann
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are currently stuck in academia and are not yet used regularly in industrial development processes. We believe that fully automating the verification process is a crucial step towards a broad acceptance of this