62 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD scholarships at Technical University of Munich
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. To this end, methods are first to be developed and established. Your Profile You ideally bring the following with you: • Excellent master's degree in food chemistry, food technology, biochemistry, biophysics
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academic assignments at the chair What we look for in you Completed master’s degree in computer science, transportation, or related engineering fields Solid background in generative AI, machine learning, and
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Universitätsklinikum rechts der Isar der TU München Ismaninger Str. 22, 81675 München http://kornlab.med.tum.de The position is suitable for disabled persons. Disabled applicants will be given preference in case
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an interdisciplinary career skills programme across Europe. The Technical University of Munich (TUM) is one of the best universities in Europe. It is characterised by excellence in research and teaching
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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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multidisciplinary environment at the intersection of cellular biology, toxicology, and epidemiology. As part of our team, you will collaborate with leading experts in environmental health, stem cell technology, and
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leading international journals and conferences • Literature research • Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer
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your research at conferences, workshops, and through scientific publications. Your profile: ▪ You hold an MSc degree in physics, engineering, or computer science. ▪ You are very experienced in Python
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conferences and workshops, and supporting the team in preparing grant applications. You will also be expected to contribute to teaching in our master's program and assist in supervising bachelor's and master's
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: kilbertus.niki@gmail.com More Information https://drive.google.com/file/d/1PM