31 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" PhD positions at Technical University of Munich
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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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and present at international conferences Required Qualifications Master’s degree in computer science, or a closely related field Strong programming skills in Python and experience with deep learning
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“Bioeconomy International 2025 – Cooperation with Thailand”) Bio-SMiLE Project Description Colourful Biotechnology: Sustainable Mycelium-based Leather and Fungal Eco-Dyes from Agricultural Waste Streams (Bio
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-oriented atmosphere. The Chair Group of Production and Resource Economics offers a highly international and stimulating work envi-ronment that promotes individual creativity and effective teamwork with a
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. Requirements A Master’s degree (or equivalent) in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong research interest in telerobotics, shared
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spectroscopy to tackle challenges in photophysics and photochemistry as well as in material sciences. (https://www.ch.nat.tum.de/dynspec/startseite/). We work with (time-resolved) fluorescence, excitation and
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• Help mentor students, present results within the lab and at conferences, and contribute to manuscript preparation. Your profile • Excellent Master’s degree in Biology, Biochemistry, Molecular Medicine
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). Your qualifications • A Master’s level university degree in engineering (e.g. Computer Science), completed with above-average results • Good skills (both theory and practice) in one or several
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list of what TUM offers: https://www.gs.tum.de/en/gs/community-diversity/welcome-services/ Qualifications and Interests: Master's degree in Economics, Psychology, Behavioral Science, Social Science
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12.01.2026, Academic staff and positions for doctoral candidates The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher