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regeneration. We combine these approaches to bridge the gap between fundamental research and clinical therapies. More information about our research group can be found here: https://physics-of-life.tu
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program in the field of process engineering, environmental engineering, biotechnology, chemistry, or a related field Interest in process simulation Excellent organizational skills Ability to show initiative
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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PhD Working Language German English Required Degree Master Areas of study Chemistry, Theoretical Chemistry, Nanomaterials, Physics, Theoretical Physics, Artificial Intelligence, Computer
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on the selection process, frequently asked questions, etc please see https://www.mhh.de/hbrs
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Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. | Dortmund, Nordrhein Westfalen | Germany | 5 days ago
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 7 hours ago
programme No Description/content The IMPRS for "Quantum Dynamics and Control" is a graduate school with its headquarters at the Max Planck Institute for the Physics of Complex Systems in Dresden/Germany and
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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics