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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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of the Max Planck Society for the Advancement of Science. The Department of Machine Learning and Systems Biology , headed by Prof. Dr. Karsten Borgwardt, invites applications for a Postdoctoral Research Fellow
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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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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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of the Max Planck Society for the Advancement of Science. The Department of Machine Learning and Systems Biology , headed by Prof. Dr. Karsten Borgwardt, invites applications for a Postdoctoral Research Fellow
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position: Postdoctoral Research Fellow for AI in Education: Multimodal Learning Analytics in Collaborative Learning (m/f/d, E 13 TVL, 100% for 2 years) We are seeking a highly motivated postdoctoral
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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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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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. Strong applied statistics, including methods for longitudinal / repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). Ability to independently learn