205 postdoctoral-image-processing-in-computer-science-"EPIC" positions at Technical University of Munich
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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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Sciences (Physik), Technische Universität München Startdatum: Oktober 2025 - ENGLISH: PostDoc and PhD positions in Quantum Simulation Theory, Positions: 2-3 years (PostDoc) & 3-4 years (PhD), Location
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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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Engineering, Operations Research, Civil Engineering, Computer Science, Data Science or a related field, from a university/department with a strong international research reputation Strong mathematical and
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14.12.2022, Wissenschaftliches Personal The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics
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• Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer Science, Geoscience, Physics, Data Science, or comparable subjects • Experience in
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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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focus on business and management (e.g. business administration, industrial engineering, business informatics or economics), informatics or natural sciences/engineering with an outstanding degree (resp
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and
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qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq analysis - interest in biological applications - passion for science