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27.05.2025, Wissenschaftliches Personal The successful candidate will be a leading member of an interdisciplinary team focused on the development and application of proteomic approaches to answer scientific questions primarily in and around cancer biology and drug discovery. He/she will be...
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15.04.2025, Wissenschaftliches Personal The Neutron Imaging Group at the FRM II operates two of the world-leading instruments ANTARES and NECTAR for radiography and tomography with neutrons and plays a key role in advancing methodological development in neutron imaging in general. We are looking...
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30.04.2025, 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 and the research group Integrated Food Systems Analysis, a part of Research Section III, is...
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experts, including Dr. Dr. Sanket Rane (Columbia University, NY) specializing in mathematical modeling, Prof. Benedict Seddon (University College London) focusing on lymphocyte development and homeostasis
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degree in Computer Science or Mathematics. - an interest in machine learning and game theory. - excellent communication skills in English. If you fit this profile, like challenging tasks, and are
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, support lab courses, and supervise student research. Your profile: Above-average master’s degree in computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering
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Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and be able to think
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computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline Advanced software development and data analytics skills Hands-on mentality with
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consultancy and teaching projects Your qualification: • Studies (with Master or PhD degree) of mathematics, statistics, bioinformatics, epidemiology or related subjects. Applicants expecting to finish
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or as soon as possible afterwards. Your qualifications • Excellent university degree in electrical engineering, communications engineering, mathematics, physics (or similar), ideally with prior knowledge