91 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" positions at DAAD in Germany
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of Management and participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics strong analytical and
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available in the further tabs (e.g. “Application requirements”). Objective The primary aim of this programme is to promote research projects within the context of doctoral programmes. Who can apply? Doctoral
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heritage. Position details You will have the opportunity to participate in one of several available PhD programs, with three years funding, in collaboration with the University of Göttingen. Master’s
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citizenship Licenciatura-degree in study programmes with a minimum of eigth semesters or evidence of professional qualification within a study programme with a minimum of ten semesters. Academic excellence, you
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literature survey. A preliminary research proposal is required for the application stage with a timetable for a four-year research project. Execution of the research plan through conducting of experiments
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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Please note that master’s programmes in Germany can be found on https://www.hochschulkompass.de/en/study-in-germany.html . Application location Applications must be submitted via the DAAD portal (under
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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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, geosciences, mechanical/electrical engineering, or a related field Very good understanding of data analysis and/or machine learning Programming experience, ideally in Python and C (additional languages such as
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programming task within the thematic context of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bi-molecular-machine-learning/ Employment conditions This is a