111 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD scholarships at DAAD in Germany
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on retention processes are still poorly understood. The PhD thesis is part of the joint project TRANSFER, which is jointly funded by the Federal Ministry for Research, Technology and Space (BMFTR) and the
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posting is subject to approval of the associated third-party funded project. Your tasks You will help modelling complex geochemical systems, which are typically limited by extremely high computational
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of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking a motivated PhD candidate to apply the emerging framework of information field theory
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an interdisciplinary team of biologists and clinicians Well-equipped laboratory with personal mentoring Integration into a structured PhD program at Münster University and the PodoSigN research training group This is a
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking two motivated PhD candidates to develop a novel multi-scale
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science in close cooperation with the research groups at the DPZ and the Göttingen Campus. PhD projects cover a broad range of topics. A structured PhD program will offer many opportunities
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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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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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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