521 machine-learning "https:" "https:" "https:" "https:" "The Open University" PhD positions in Germany
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methodological approaches. The selection is done according to the SCRIPTS Diversity Rules & Guidelines: https://www.scripts-berlin.eu/about-us/Diversity/Diversity_Rules_Guidelines/index.html Job description: The
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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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) Travel to industry partners to learn and set up on-site research Preparing scientific publications and project reports Your Profile: Strong motivation for an interdisciplinary project that combines physics
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websites. Application Process Applications for both programs must be submitted online by January 14, 2026: https://www.uni-goettingen.de/de/application/556704.html Applicants will be asked to upload a CV
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08.09.2021, Academic staff The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%, 3
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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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processes the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https
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information, please see: Facts and Figures. ) The University of Tübingen is a member of the European University Alliance “CIVIS – A European Civic University” (https://civis.eu/en ), which offers a wide range
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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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applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing