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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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phases Your profile Excellent Master’s or Diploma degree in medical physics, physics, computer science, medical engineering or a closely related field with a strong interest in data science and
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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are an advantage Ability to communicate and carry out work in an interdisciplinary research team (radiochemistry, biochemistry, geochemistry, physical chemistry) and willingness to participate in scientific
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for the development of scientific and personal skills. Candidates ideally combine several of the following skills and qualifications: A very good M.Sc. degree (or equivalent) in biology, physics, computer science
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sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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at renowned institutions, including the Max Planck Institute for Infection Biology, German Rheumatology Research Center (DRFZ), Charité-Universitätsmedizin Berlin and Technische Universität Berlin
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Institute for the History of Science, Freie Universität Berlin, Humboldt-Universität zu Berlin and Technische Universität Berlin. It is an international PhD program based in the history and philosophy
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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