71 postdoctoral-image-processing-in-computer-science-"EPIC" PhD positions at Technical University of Munich in Germany
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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accessible to users from science and industry Your qualifications: ■ Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science
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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 Science
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processes regulated by AGC1 kinases. The Chair of Plant Systems Biology has strong expertise in all relevant molecular, cell biological, biochemical, physiological and genetic techniques. The group also has
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21.07.2025, Wissenschaftliches Personal The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz- LSB@TUM) is a research institution of the Leibniz Association
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(MCQST) is inviting applications for a Ph.D. or postdoctoral position. In recent years, spin defects in diamonds have been shown to act as atomic-sized sensors for nanoscale- microscopic magnetic field
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
of Munich (TUM), Campus Heilbronn. We are looking for exceptional candidates who are interested in pursuing a PhD in either theoretical computer science or graph and network visualization. We seek PhD
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14.08.2023, Wissenschaftliches Personal The Chair Group of Production and Resource Economics at the TUM School of Life Sciences Weihenstephan and the TUM School of Management offers two positions as
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for dynamical systems, causality, and ML for science more broadly. We publish at core ML venues and are also interested in collaborating on applications in biomedicine, climate, or physics. Find out more at
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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD