25 data-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IMEC" PhD positions at Technical University of Munich
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inaccessible biological information and accelerate breakthroughs in medicine, biology, and environmental health. Our interdisciplinary team of scientists and engineers from more than 25 countries develops
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31.07.2026, Academic staff We are seeking a researcher in Scientific Machine Learning (SciML) to join the project "Data science at scale" at the Technical University of Munich, Germany. Ideal
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04.08.2026, Academic staff Fully funded PhD position (TV-L E13) at the Technical University of Munich (TUM) in Generative AI for Automotive Software Engineering. The project focuses on LLMs, VLMs
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Computer Science, Data Analysis, Software Engineering, Physics, Mathematics or related disciplines with a strong academic record. Strong programming skills, preferably in Python, and experience developing non
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([email protected]). See also https://www.ch.nat.tum.de/pc/research/e-conversion/ and https://www.ch.nat.tum.de/hydrochemistry/environmental-and-isotope-analysis/ for more information. The position is suitable
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-informatics components of the SEQUORA research prototype together with medical informaticians, gynecologic oncologists and consortium partners Develop and harmonize longitudinal clinical data models
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spectroscopy technologies (i.e. optical hardware). • Molecular biology / protein biochemistry expertise. • Experience in analyzing protein structural data (not necessarily acquiring the data). • Having already
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and in peer-reviewed journals. Your qualifications Excellent master’s degree in Electrical Engineering, Communications Engineering, or a related field. Strong knowledge of Information Theory, in
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, Communications Engineering, or a related field. Strong knowledge of Information Theory, in particular Shannon Theory. Knowledge of coding theory. Interest in mathematics. Knowledge of artificial intelligence is a
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documentation, and quality assurance measures Your Profile Completed academic university degree at master’s level in computer science, medical informatics, data science, bioinformatics, computational science, or