140 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Technical University of Munich in Germany
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have the following: • Ph.D. in electrical engineering, physics, computational science, medical technology, biomedical computing, natural sciences, or a related discipline. • Excellent track record
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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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of Prof. Carsten Trinitis as well as of the Audi Data & AI Team (Dr.-Ing. Benjamin Hadwiger and Dr.-Ing. Florian Meyer) in Neckarsulm. Requirements • MSc in Computer Science, Electrical Engineering, or a
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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
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04.12.2025, Academic staff We are looking for an Independent junior research group leader (m/f/d) with knowledge of data / AI science to set up and lead the AI Core Unit of the BioSysteM Cluster
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As a suitable candidate, you hold a very good PhD or master´s degree in industrial engineering, process engineering, chemistry, computer science or similar disciplines. You think analytically, work
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leader 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 fields Experience in applied data science and machine
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16.08.2021, Academic staff For the BMBF funded International Future Lab “AI4EO” (https://ai4eo.de/) we are looking for a motivated Science Manager (m/f/d) ABOUT US The International Future Lab
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• You have a degree (Master’s or equivalent) in Civil Engineering or Mechanical Engineering with a strong focus on continuum-solid mechanics and computational methods. • You have experience in and
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal