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Field
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independently and in a team Desirable: Experience in conducting and analysing semi-structured interviews Knowledge of and/or experience with strengthening and stretching exercises for the prevention and treatment
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core
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pair distribution function (PDF) data for structure refinement and modelling of heterogeneous catalysts Publication of results in peer-reviewed scientific journals and presentation at conferences Your
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experimental partners within the RTG2861-PCL consortium. Specific requirements: We are looking for a motivated candidate, preferentially with theoretical background and strong interest in electronic-structure
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consortium. Specific requirements: We are looking for a motivated candidate, preferentially with theoretical background and strong interest in electronic-structure theory and code development. Basic
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core
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Helmholtz Centre for Infection Research, Helmholtz Centre hereon GmbH, Max Planck Institute for the Structure and Dynamics of Matter, European XFEL, University of Hamburg, Hamburg University of Technology
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knowledge of Python and FORTRAN programming, UNIX/Linux and shell script Knowledge in dealing with server-based computer structures and high-performance computers (e. g. HLRE at DKRZ) Confident handling
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Your Job: This PhD thesis aims to quantitatively study the initial stages of light conversion into electrical signals in Si-based photovoltaic devices. The research will employ off-axis electron