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of Life Sciences of the Technische Universität München in Freising-Weihenstephan. With a focus on cell biology, we study cell polarity and signalling pathways regulated by RhoGTPase signalling in multiple
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precise 3D mapping of forest plots. This role includes scanning of designated plots to digitize forest structures, followed by computer-assisted classification of point clouds to identify individual trees
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-Horizon Projekte: - SAPHEA (Developing a single access point for the market uptake of geothermal energy use in multivalent heating and cooling networks across Europe) - FlexGeo (Pathing the Way for Flexible
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connected by train (ca. 30 minutes), and a perfect starting point to explore the Bavarian Alps and the rest of Germany. Working hours are flexible and remuneration is in accordance with TUM regulations (65
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10.03.2023, Wissenschaftliches Personal We are looking for a motivated Ph.D. student or post-doc interested in developing novel processes that boost the production of bio-based liquid fuels and
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Signals in Cancer” (Head: Prof. Dr. med. Jürgen Ruland) is to (i) explore the molecular mechanisms and pathways that drive immune dysfunction and immunotherapy resistance, (ii) modulate cancer
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, mechanical, and chemical sensors including sensor characterization and testing is a plus • Experience with electronic devices manufacturing processes is a plus but not required • Excellent academic
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100%, 3 years) on DNA data storage. The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as