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Description The Institute of Systems Biotechnology (Director: Prof. Dr. Christoph Wittmann) stands for excellent research at the interface of biotechnology, systems biology, and sustainable resource
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time
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women to apply. The University is a certified family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with
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available in the further tabs (e.g. “Application requirements”). Programme Description Early-career scientists from all countries of origin and any subject carrying out further research work into the field
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to research into the mechanisms and treatment of multiple sclerosis (MS) and related diseases. Our institute combines reseach at the biomedical center (BMC) with taking care for patients at the Klinikum
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TV-L, part-time 65 %, limited for 3 years, start: as soon as possible) Are you passionate about machine learning, molecular science, and making discoveries at the interface of biology and chemistry
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, master’s degree) in transportation, computer science or related fields experience with transport models and/or simulation tools interest in interdisciplinary research on the analysis and modeling
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documents (transcripts, degree certificates) in a single PDF to the head of the Chair group, Professor Johannes Sauer (jo.sauer@tum.de). The positions will remain open until filled, with applications reviewed
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, complex nanostructured materials, and proteins in solutions and at interfaces, mostly studied by X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI