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, supportive international scientific network • A diverse and inclusive working environment • Extensive advanced training opportunities Application Process Please apply by sending one PDF containing (a) a short
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for the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have read the data protection notices of TUM. Please send your complete
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assessing the impact of potentially beneficial changes during the engineering process. This can include elucidation of new structures in collaboration with a structure biology team on campus. • Build
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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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, 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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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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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
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emphasis is placed on building information modelling, point cloud capturing and processing as well as knowledge representation and inference. In the research project AI-CHECK, new technologies for checking