21 master-"https:" "https:" "https:" "https:" "Dublin City University" PhD positions at DAAD in Germany
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PhD Working Language English Required Degree Master Areas of study Physics, Experimental Physics, Nanotechnology, Nanosciences, Theoretical Physics Description Description The Center for NanoScience
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of Position Full PhD Working Language English Required Degree Master Areas of study International Relations, Political Science, Sociology, Social Science, Cultural History, Cultural Studies, American Studies
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PhD Working Language English Required Degree Master Areas of study Physics, Experimental Physics, Nanotechnology, Nanosciences, Theoretical Physics Description Description The Center for NanoScience
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-34Zipcode60322CityFrankfurt am Main Contact details Tel:+49 69 154008953 E-Mail: doctoral at fs.de Web: https://www.frankfurt-school.de/en/home/study/doctoral?lang=de Legal notice: The information on this website is
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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requirements must be met? Doctoral candidates or participants in a combined Master and PhD programme who commenced their studies at least one year before. Doctoral students with a confirmed job offer for after
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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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pathogenesis. Requirements: We aim at attracting the best talent and expect the following: an outstanding university degree (Master or equivalent) in Biology, or related field of science experience with cell
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portal (see link below). After an administrative review/ formal check by BIH Biomedical Innovation Academy (BIA), applications will be forwarded to the Principal investigators (PIs), who may contact
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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