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at the University of Freiburg and the Karlsruhe Institute of Technology. Each doctoral position lasts 48 months and culminates in the award of a doctoral degree. The positions in Germany are part of a wider European
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funded by the European Research Council (ERC) Starting Grant VIBEBOT. Requirements: university degree in Engineering, Applied Physics or relevant subjects is required. An interest or experience in
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journals Writing project proposals and acquiring new third-party funded projects Your Profile Completed master's degree in materials science, chemistry, physics, engineering or a related field In-depth
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research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications. Where to apply E-mail biofunmat@cs.tum.de Requirements Research FieldChemistry
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the market perspective. The position requires a fast adaption to the existing technology (technological readiness level TRL 2-3) to test several medical use cases and implement technological advances (next
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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is committed to training the next generation of European researchers/engineers in MCF technologies and applications. MATCH will offer its DCs a comprehensive education encompassing the latest
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning