124 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at DAAD
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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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-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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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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-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76295
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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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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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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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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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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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, 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