134 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at DAAD in Germany
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. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic audiences. Attend and participate in academic and non-academic
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19 Dongfang Donglu, Chaoyang District 100600 Beijing, VR China Tel.: +86 010/6590 6656 Fax.: +86 (10)/6590-6393 E-Mail: postmaster@daad.org.cn WWW: https://www.daad.org.cn/zh Please note Your
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existing methodologies. Carry out literature review, hypothesis development, and experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish
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-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76295
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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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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
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planning methodologies and in mathematical optimization techniques We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and
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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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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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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