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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 3 months ago
modern, structured doctoral program in English with a tailored curriculum . Fully funded positions plus additional funding for scientific meetings and trainings (no tuition fees). Individual supervision
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/Programme: Aeronautics Research (PhD) Research Topic: Please use reference number AE0085 Research Supervisors: Professor Matthew Santer, Dr. Paul Bruce Research Group: Aero For further information
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without notice. Where we have listed information about jointly run scholarships programs, please also see our partners' websites. Information describing the number and value of scholarships awarded is
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oppdatert 24.03.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of
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master’s degree in a field relevant for the position or the degree must be completed by July 1, 2026. Admission to the doctoral program at Norwegian University of Life Sciences (NMBU) is a condition for the
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a
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reporting of SMART trials. What we are looking for This PhD is suitable for a UK resident with: Strong analytical and programming skills (e.g. R, Stata or similar) A Degree or Master’s with a substantial
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming