488 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" PhD scholarships in Germany
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https
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energy system models based on the institute`s own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE. Your tasks in detail: Implementing geothermal plants with material co-production in
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, Study of Religions, and Philosophy of Religion. https://www.en.buddhismus-studien.uni-muenchen.de/index.html Additional support is offered by the GraduateCenter. Course organisation The PhD programme
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Degree Dr rer nat Course location Münster Teaching language English Languages English only Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline https
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international project partners, embedded in an ERC-funded project. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which
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items. For details, see: https://www.uni-jena.de/en/Jena+living+international . Funding opportunities within the university Yes Description of the above-mentioned funding opportunities within
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for doctoral programmes: any time Application deadline Consult the website: https://www.sgbm.uni-freiburg.de Tuition fees per semester in EUR Varied Combined Master's degree / PhD programme No Joint degree
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: Your professional development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher