163 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" PhD positions in Germany
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for Clinical Brain Research, German Centre for Neurodegenerative Diseases, Bernstein Centre for Computational Neuroscience, Centre for Mental Health, Centre for Neurosensory Systems, Natural & Medical Sciences
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degree with either the UTS Sydney or the University of Groningen. Teaching language English Languages Our primary language in the PhD programme is English. In addition to the mandatory English language
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available in the further tabs (e.g. “Application requirements”). Programme Description International students from all subjects (except the medical disciplines) who have been admitted to a doctoral programme
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available in the further tabs (e.g. “Application requirements”). Programme Description The Heinrich Böll Foundation is the Green political foundation. Every year, under the heading "promoting talent
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three Master's programmes (Biochemistry, Biomedicine, and Biomedical Data Science). MHH is part of the IDOH (Infectious Diseases and One Health) Master's programme. A structured doctoral programme for
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | 2 days ago
Heidelberg Teaching language English Languages Working language: English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Additional information
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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regarding increasing atmospheric pollution by space emissions. On the regional level, we closely cooperate with the University of Rostock and are an integral part of the teaching program of the Institute
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming