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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our network
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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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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(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app
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least one of areas like animal communication research, probabilistic modeling, or language evolution is a strong requirement. As the position involves computational / mathematical modeling in the form
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qualified skills highly pursued by key technological players worldwide. The consortium of MATCH doctoral programme represents a multidisciplinary and intersectoral team with vast experience in training and
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identification of spider mite infestation foci and needs-based beneficial insect application in outdoor cucumber cultivation’, which is funded by the BMBF within the funding programme KMU-innovativ: Bioökonomie
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is committed to equity and diversity and actively promotes equal opportunities.The employment will be handled by the central administration of the University of Tübingen. Please send your application
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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