116 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions at DAAD
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and developing dependable automated driving systems based on software and systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer
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at the host-virus interface. Our central methodologies are solution NMR, crystallography and SAXS, together with a broad method spectrum from biochemistry and biophysics. In this project, we plan to analyze
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the information available in ptychography data About you: Master's degree in Physics/Mathematics/Computer Science or related subject Willingness to familiarize yourself in depth with new topics Good capacity
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Individual scientific supervision and active collaboration in a well-networked project consortium Possibility for international visibility through presentations and publications A structured PhD program with a
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The position comes with access to high performance computing resources and access to training
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on these topics. One position is in the "X‑Ray Nanoscience and X‑Ray Optics" group and the other is in the "Computational Imaging" group. The PhD projects are embedded in the frame of the ErUM data project CmarT
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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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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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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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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