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Sciences. The programme focuses on conditions, processes, and outcomes of learning with research perspectives ranging from psychology, educational science, medicine, mathematical education, neurosciences
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susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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candidates with a background in cell cycle regulation/mitosis and cell biology. The duration of mitosis is tightly regulated by multiple factors, including the spindle assembly checkpoint (SAC
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 20 hours ago
science, epidemiology/public health studies, and related fields. Projects frequently cross traditional research boundaries and draw upon expertise from multiple scientific and clinical disciplines. Based on a long
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25576 PhD student in cancer proteomics (m/f/d) Stellenanzeige merken Stellenanzeige teilen available
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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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Centre for the Humanities (GGK) and to publish in the GGK/GCSC's online review journal KULT_online. IPP members not only find support in developing an international academic profile, but may acquire
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the team, to effectively collaborate, and to communicate in a diverse scientific environment High proficiency in spoken and written English Interest in learning effective usage of emerging computational
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of the German Federal and State Governments, today BIGSAS is part of the Cluster of Excellence EXC 2052 – "Africa Multiple: reconfiguring African Studies". The graduate school itself is an innovative centre