85 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions at DAAD
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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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candidate will be embedded in the DFG Research Program RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared
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(see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en ) knowledge in EcoDesign, climate sciences and life-cycle assessments project management knowledge of the host
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, storage, accessibility/sharing, archiving, publication, and preparing data for machine learning applications. The Research Training Group RTG 3120 offers, subject to the availability of resources, a
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their achievements and productivity to the success of the entire institution. At the Faculty of Electrical and Computer Engineering, Institute of Solid State Electronics, Chair of Coating Technologies in Electronics
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knowledge of machine learning (e.g., in the areas of object detection and identification, generative AI, etc.) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min
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-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76295
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January 14, 2026: https://www.uni-goettingen.de/de/application/556704.html Applicants will be asked to upload a CV, academic records (as PDFs), and contact information for two referees. You may select up
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of all nationalities. How to Apply — Find further information about the IMPRS, our research, and our online application procedure on our website: https://www.mpimp-golm.mpg.de/IMPRS-PhD Please note that we
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literature review, hypothesis development, and experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic