75 structures-"https:" "https:" "https:" "https:" "https:" "Grenoble INP Institute of Engineering" uni jobs at DAAD
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successful candidate will be employed by the MBN Research Center gGmbH in Frankfurt am Main, Germany, and enrolled in the PhD programme at the Goethe University Frankfurt. MBN Research Center ( https
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flow”, which is one sub project in the European Training Network COMBINE, where a total of 17 PhD positions are available at the premises of 14 European institutions from academia and industry: https
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strengthening education and research in Latin America structural strengthening and regional networking of partner institutions and partner universities Who can apply? University graduates from the following
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years: https://www.daad.de/en/information-services-for-higher-education-institutions/further-information-on-daad-programmes/gssp/ Doctoral candidates who are admitted but not awarded a scholarship will
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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to application at http://www.kseta.kit.edu/application.php . Further information about the KSETA Europe application procedure, available research topics, subjects for doctoral dissertations and the KSETA
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, biochemical interactions and biological functions of small natural product molecules in and from plants and fungi ( https://www.ipb-halle.de/en/ ). Contact details: We are looking forward to receiving your
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of the world's leading research centres. Its research focuses on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY
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(see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en ) knowledge in EcoDesign, climate sciences and life-cycle assessments project management knowledge of the host
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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