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starting in 2025 within the TUM School of Life Sciences. The group is committed to uncovering mechanisms by which crop plants can increase the uptake of micronutrients from the soil and transfer them
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Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities
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(e.g. between Christmas and New Year) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking
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computer science, business informatics, mathematics or similar with interest in scientific work as part of a doctorate. Independent, structured way of working, quick comprehension and the ability to familiarize
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programme No Description/content The Graduate School for Geoinformatics (GSGI) provides a structured doctoral education in the interdisciplinary field of geoinformatics. GI (geoinformation) is a powerful
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structured training and supervision of more than 1,500 doctoral candidates in mathematics, natural and life sciences. Working on research projects towards their doctorate, the students are supported in
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structured research programmes in theoretical sciences at Bielefeld University, the BGTS provides a structured, internationally oriented doctoral study programme comprising courses, seminars, international
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Max Planck Institute of Animal Behavior • | Radolfzell am Bodensee, Baden W rttemberg | Germany | 11 minutes ago
programme No Description/content The IMPRS-QBEE is a structured graduate programme for outstanding doctoral candidates from around the world whose research interests lie within the fields of animal behaviour
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | 14 minutes ago
University, Prague/CZ Institute of Low Temperature and Structure Research, Wroclaw/PL University of Wroclaw/PL Wroclaw University of Science and Technology/PL Teaching language English Languages 100% English
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susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be