146 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at DAAD in Germany
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Program are intended for students who wish to obtain a doctoral degree and who are motivated to carry out translational research. The following projects are open for applications: 1. “Enhancing CAR-T
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expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and willingness to cooperate, very good verbal and written English communication skills as well as the absolute
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-addressed PhD subjects, high interdisciplinary desire to learn and willingness to cooperate, very good verbal and written English communication skills as well as the absolute determination to submit
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Portal https://securemail.tu-dresden.de by sending it as a single pdf file to uwe.hampel at tu-dresden.de or to: TU Dresden, Chair of Imaging Techniques in Energy and Process Engineering, Prof. Dr
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-goettingen.de , +49-551-39 29429). For more information about the research group, please visit the institute webpage: https://www.uni-goettingen.de/en/91107.html . For details about the CRC, please consult
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mechanical Science and Engineering, Institute of Manufacturing, the Chair of Forming and Machining Technology is offering
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impact the safety of flight. The thesis shall develop robust state estimation methods by combining factor graph-based sensor fusion, variance component analysis, and modern deep learning approaches such as
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to teach in German and English We offer: opportunity to work in an international environment participation in scientific exchange programs and short research stays abroad membership in the Graduate Academy
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simulation environments, numerical methods, or machine learning approaches is an advantage Fluent command of written and spoken English is necessary; German is an advantage but not required High degree
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are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used