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, interdisciplinary team that combines science, sustainability, and technology to create a better future. Help shape the next generation of sustainable materials inspired by nature’s most powerful resource: water
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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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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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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 14 hours 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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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