15 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Göttingen •
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time Application deadline No application deadline Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The PhD
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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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Degree PhD Course location Göttingen Teaching language English Languages English (100%) Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Please
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fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The PhD programme involves advanced studies in theoretical and
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details on our website. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The IMPRS for Genome Science programme
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English language test or a GRE subject test in physics. Applications for the PhD programme in Solar System Science should preferentially be submitted in response to the IMPRS call for applications , issued once per
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participation in the scientific affairs of the faculty or the Geoscience Centre, students acquire knowledge and skills that go beyond a curricular programme of study. Course organisation The focus of the PhD
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Degree Dr rer nat / PhD Geography Course location Göttingen Teaching language German English Languages Courses are held in English (75%) and German (25%). Programme duration 6 semesters Beginning
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in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Faculty of Chemistry is a member of the graduate school "Georg-August
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content Environmental informatics is understood to be an integrated subject consisting of bio-, eco- and