124 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions at DAAD in Germany
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%, currently 29.85 hours/week). The position is funded by the German Federal Ministry of Research, Technology and Space (BMFTR) until 30.09.2028. Within this project, and in a collaboration between the
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support of data/metadata formats developed in the group Integration of the developed software into the computational environments and data handling routines Presentation of the scientific results
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Description The International Max Planck Research School for Chemistry and Physics of Quantum Materials is a joint PhD program between the Max Planck Institute for Chemical Physics of Solids in
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profile Completed university studies (Master/Diploma) in the field of Physics (Computational-, Plasma Physics, Optics) or related field Mastery and use of the scientific method Experience in numerical
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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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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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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