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intelligent systems supporting autonomous wind power plant operations. As part of this program, you will spend 6 months at the Universidad de Castilla-La Mancha in Spain and 6 months at the Delft University
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either language. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline None Tuition fees per semester in EUR None Combined
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Support programs equity Fields of action Networks for equity Contact Team Equity News and publications Back Press releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine
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About Us In a nutshell Institutions & Location Glossary Research Scientific Orientation BIOLOGY CHEMISTRY & BIOCHEMISTRY MOLECULAR CONDENSATES BIOLOGICAL PHYSICS MATHS, COMPUTATION & AI Research
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accessible to users from science and industry Your qualifications: ■ Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science
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International Max Planck Research School for Molecules of Life (IMPRS-ML) | Germany | about 2 months ago
the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our network
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) Country Germany Application Deadline 7 Oct 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme
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leading international journals and conferences • Literature research • Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer
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positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our
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the fields of microsystem engineering, microdevices and microfluidics, intelligent systems programming and modeling, autonomous control and computer vision are preferred. The successful candidate should be