44 approximation-theory-math PhD positions at Technical University of Munich in Germany
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fundamental questions about the mechanistic basis of the human immunological memory. We investigate T-cell communication with the local tissue microenvironment in settings of infections, autoimmunity and cancer
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Wood Science" promotes the innovative and sustainable use of wood-based materials and products through research, teaching and development projects. About the project: The objective of the work is to
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fundamental knowledge about the handling and capturing of flow behavior in multistage compressors. The collaborative frame with a prestigious industry partner will give insight to future technology requirements
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international and stimulating work environment that promotes individual creativity and effective teamwork with a clear focus on quality output. More in-formation about the group is available at http
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academic supervision from Prof. Henkel. You will participate in the doctoral program of the TUM School of Management; after about a year, there is the possibility to apply for the School’s Academic Train-ing
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responsibility for teaching and ancillary tasks and supervise student teams. Your profile: You are enthusiastic about the topic of autonomous systems and robotics and are motivated to take on responsibility in
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will take responsibility for teaching and ancillary tasks and supervise student teams. Your profile You are enthusiastic about the topic of autonomous systems and robotics and are motivated to take on
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knowledge about the methodologic handling and capturing of endwall flow phenomena, which are increasingly dominant in compressors. The collaborative frame with a prestigious industry partner will give insight
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of Munich (TVL-E 13, 65%, 3 years, start date 01 March 2022) About us: The Department of Science, Technology & Society at the newly founded TUM School of Social Sciences & Technology is home to about 60
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10.10.2022, Wissenschaftliches Personal For our team, we are looking for a full-time PhD candidate on the topic of “Geolocation text embeddings for social media data”. About us The TUM-Professorship