56 structures "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD positions at DAAD
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multi-disciplinary research environment organized within a structured PhD program that enables to complete a doctoral thesis within three years. Topics: Researchers of several disciplines
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academic environment. Required Documents Required Documents CV Certificates Transcripts Language certificate Motivation letter References Application Application https://www.frankfurt-school.de/en/home/study
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profile M.Sc. in biosciences, biotechnology, biochemistry, or biomedicine Strong molecular and cell biology background Independent, structured, goal-oriented, and highly motivated Team player with
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of a Class B driver’s license are also required. Please find more information about the position, the contact person and the link for applying here: https://jobs.rptu.de/jobposting
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professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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at gsnas.fu-berlin.de Required Documents Required Documents Motivation letter CV Certificates Research expose References Language certificate Application Application https://www.jfki.fu-berlin.de/en
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using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, complex nano-structured materials and machine learning tools
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, for example through training opportunities and the structured JuDocS program for doctoral candidates ( https://www.fz-juelich.de/en/judocs ). Health and well-being: Your health is important to us. You can look
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sustainable future. A more detailed summary of our research fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent network on international
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, candidates are required to complete a scientific programming task in the subject area of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bayesian-inference-for-climate