67 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Technical University of Munich in Germany
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networks self-organize their architecture. We are looking for a PhD student (m/f) to join our team at the TUM. Task Flow networks are a fundamental building block of life. Transport by flow is the main task
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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and
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28.11.2024, Wissenschaftliches Personal Three funded PhD student positions are available at the Chair of Plant Systems Biology at the School of Life Sciences of the Technische Universität München in
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. The main focus is developing and characterizing metallic high-performance materials for/through additive technologies using experiments and computer-aided methods. Furthermore, the chair is dedicated
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06.10.2023, Wissenschaftliches Personal The PhD position is on safety verification of Cyber-Physical Systems at the intersection between control theory and machine learning. The position is full
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23.09.2024, Wissenschaftliches Personal The research group of Prof. Marc Schmidt-Supprian at the Institute of Experimental Hematology is seeking a highly motivated PhD student starting from now
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23.04.2024, Wissenschaftliches Personal We are offering one PhD position to a highly motivated student focusing on the interconnections between biophonic and anthrophonic sounds and environmental
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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
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body organs. We are looking for a PhD student (m/f/d) to start at the TUM between now and March 2023. Your Task From animals’ circulatory system to random porous media in fuel cells, morphological
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research and travel budget available to best support your research. You will partic-ipate in teaching and supervising students, interact with and learn from the other team members, and re-ceive close