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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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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
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the frameworks. • Elucidation of the effects of coupled confinement of multiple catalytic centers. Requirements • Master's degree in Chemistry or Materials Science. • Experience in organic/metal–organic
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reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be complemented by own lab testing e.g., SSRT incl
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | about 8 hours ago
cluster for neurosciences in the Bonn-Cologne region and has multiple ties with the University of Bonn and the University of Cologne . The MPINB is run by the two scientific directors, Jason Kerr and Kevin
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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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data handling Strong self-initiative and willingness to learn and to quickly gain an understanding of new subject areas Joy in working independently, as well as within a team Strong problem-solving
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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. The successful candidate will be integrated into the Institute’s International Max Planck Research School “Global Multiplicities” ( https://www.imprs-gm.mpg.de ), which offers comprehensive structured doctoral
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science (for example, but not limited to, data science, machine learning, statistics, computer science, mathematics, etc.) acceptance by a PhD supervisor with examination admission for PDS and formation