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educational data obtained from learning platforms, digital learning tools (e.g., mobile apps), and/or ecological momentary assessments (EMAs). The candidate will work closely with Prof. Kou Murayama, Prof
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will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive educational data obtained from learning
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Berlin conducts interdisciplinary science to understand, anticipate, and shape major disruptions from Artificial Intelligence (AI) to the way we think, learn, work, play, cooperate, and govern. Our goal is
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specialization) or comparable long time experience - experience in product/quality assurance, or willingness and ability to acquire such experience - expertise in the development and/or characterization
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, quantitative characterization, and machine learning-enabled decision-making. The position is associated with the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective
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centers in Germany and around the world. The researcher taking on this position will be required to teach 5 hours per week, in accordance with postdoctoral workloads across Germany. The researcher will have