133 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions at DAAD in Germany
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by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion
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person who is eager to learn more and has a strong interest in research. Experience with membrane filtration systems (of any scale) is a definite advantage, as well as being comfortable in specifying
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Brasilien Tel.: +55 (21)/2553-3296 Fax.: +55 (21)/2553-9261 E-Mail.: auxilio@daad.org.br WWW.: http://www.daad.org.br More detailed information http://www.daad.org.br/auxilio Submitting an application General
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flow”, which is one sub project in the European Training Network COMBINE, where a total of 17 PhD positions are available at the premises of 14 European institutions from academia and industry: https
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on documents, deadlines, conditions, etc. Applicantions must be submitted both via DAAD Portal and ANID Portal. For further information please follow the link below: https://anid.cl/concursos/doctorado-becas
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Branch Office DRC Building D1, 1102A 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: http
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at http://europass.cedefop.Europa.eu ); University degree certificates, whereby a bachelor’s degree must have been passed with at least second-class upper division (or equivalent) and a Licenciado 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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. 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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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