62 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD scholarships at DAAD in Germany
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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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1Zipcode80539CityMünchen Contact details E-Mail: recruiting_cens at physik.uni-muenchen.de Web: https://www.cens.de Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful
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, conversely, to use clinical observations to develop new research ideas. The aim is to deliver medically relevant benefits to patients and the general population. The BIH PhD Program contributes to the overall
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StreetLansstraße 7-9Zipcode14195CityBerlin Contact details Tel:+49-30-838-52868 E-Mail: office at gsnas.fu-berlin.de Web: https://www.jfki.fu-berlin.de/en/graduateschool/index.html Legal notice: The information
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-muenchen.de Web: https://www.cens.de Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful checking, the DAAD cannot guarantee the accuracy and completeness.
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-muenchen.de Web: https://www.cens.de Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful checking, the DAAD cannot guarantee the accuracy and completeness.
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StreetLansstraße 7-9Zipcode14195CityBerlin Contact details Tel:+49-30-838-52868 E-Mail: office at gsnas.fu-berlin.de Web: https://www.jfki.fu-berlin.de/en/graduateschool/index.html Legal notice: The information
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to mastering the great challenges facing society today. At the Helmholtz Institute Freiberg for Resource Technology (HIF), innovative technologies for the circular economy are developed to provide and use
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), the sorption of PFAS and heavy metals onto natural nanoparticles will be investigated in situ using a dedicated field exposure method developed by our team, complemented by laboratory experiments and machine
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD