290 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at DAAD
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course program. Please visit our webpage https://www.cui-advanced.uni-hamburg.de/en/career/job-openings.html for more information on our available positions and the application process. Selection process
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, the China Scholarship Council (CSC) and the DAAD have offered a joint programme to support Chinese postdocs since 2013. Who can apply? Outstanding graduates from Chinese Universities and institutes. What can
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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description and requirements can be found in both German and English here: https://www.uni-greifswald.de/universitaet/information/stellenausschreibungen/wissenschaftliches-personal/stellenausschreibung/n
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available in the further tabs (e.g. “Application requirements”). Objective The scholarship programme “Leadership for Africa” (LfA) aims to support the academic qualification and advancement of young refugees
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international facilities (such as synchrotron and neutron sources). Details of the research activities as well as publications and background information are available on the group website: https://www.soft
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available in the further tabs (e.g. “Application requirements”). Programme Description The DBU awards up to 50 fellowships per year for advanced qualification in all fields of environmental protection and
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the programme area ‘Plant Adaptation’ (ADAPT). The aim of the research project is to understand how intrinsically disordered regions (IDRs) and prion-like domains (PLDs) control the temperature responsiveness
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performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling
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Description Where: At the Chair for Computational and Theoretical Biology ( CCTB ) and the Center for Artificial Intelligence and Data Science ( CAIDAS ) of the University of Würzburg. Project