101 computer-programmer-"University-of-St"-"University-of-St" PhD positions at DAAD in Germany
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Description The majority of hydrological models rely heavily on the principle of mass balance, often represented through Ordinary Differential Equations (ODEs). These models encapsulate the conservation of mass within hydrological systems, ensuring that the inflows, outflows, and storage changes...
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, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Fundamentals of Electrical Engineering, the Chair of Biomedical
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available in the further tabs (e.g. “Application requirements”). Programme Description Higher education graduates of outstanding academic merit who plan to complete a doctoral programme or carry out
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1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society . The Department of Theoretical and Computational Biophysics headed by (Prof. Dr. Helmut Grubmüller) is
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1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society . The Department of Theoretical and Computational Biophysics headed by (Prof. Dr. Helmut Grubmüller) is
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available in the further tabs (e.g. “Application requirements”). Programme Description The Ernst Ludwig Ehrlich Studienwerk (ELES) is one of the foundations for the development of talent which are supported
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available in the further tabs (e.g. “Application requirements”). Programme Description International students from all subjects (except the medical disciplines) who have been admitted to a doctoral programme
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in inorganic synthesis and/or Schlenk-line preparations Experience with scientific programming (e.g., MATLAB, LabView) is advantageous Experience performing quantum chemistry computations (e.g., DFT
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conferences Requirements: a university degree in the field of computer science, data science, computational modeling or related subjects in combination with civil engineering, transport engineering a strong
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI