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Financing yes Type of Position Full PhD Working Language English Required Degree Master Magister (Masters degree course) Areas of study Marketing, Distribution, Commercial Law, Economic Sciences, Economics
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entities come together to create living cells? Combining traditional methods, from structural to synthetic biology, with novel computational approaches, chemists, physicists, and molecular biologists
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on conferences and in publications Requirements Master’s degree in physics or chemistry, computer science or equivalent Interest in Physics and Machine Learning Good written and spoken English Ability to work both
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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science and an interest in training
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theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning our current areas of research
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will engage in theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning our current
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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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Sciences, Economics, Agrobiology, Microbiology, Biology Description Description Sie möchten durch Ihre Arbeit einen Beitrag zur nachhaltigen Pflanzennutzung leisten? Dann sind Sie am Institutsbereich
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limited field-of-view acquisitions Collaborate with beamline scientists to validate and optimize the LAT scheme About you: Master's degree in Physics/Mathematics/Computer Science or related subject
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Description Experimental and computational projects available at the International Max Planck Research School for Sustainable Metallurgy (IMPRS SusMet) in Germany at the partner institutes Max