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. Collaboration between students and researchers at the partner institutions is facilitated through a lively exchange program. The professional training of students includes data science as a supporting component
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Parasitology, Biophysics to Social and Computational Sciences and Health Economics. Please check our Webpage (link below) for further information about the PhD projects and required backgrounds. Our 9 projects
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Description The Leibniz Institute of Vegetable and Ornamental Crops (IGZ) strives for excellence in horticultural research and related plant, environmental, and social sciences. Based in Großbeeren
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experimental soft matter research a supportive and enthusiastic atmosphere in-depth training in interdisciplinary soft matter science individual supervision and mentoring a PhD student mobility program with
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Description The Graduate School Practices of Literature (GSPoL) invites international candidates to apply for its three-year PhD programme, offering up to two scholarships starting on October 1
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to combine ribonucleic acid (RNA) research with infection biology. Based on novel findings from our strong basic research program, our long-term goal is to develop innovative therapeutic approaches to better
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
; experience in disciplines including biochemistry, genetics, computer science, or data science, will be considered as assets. Moreover, candidates should be highly motivated, flexible, and integrative
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA