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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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, ideally with a background in graph-based or geometric deep learning. Written and oral command of English is essential. Research environment The Max Planck Institute of Biochemistry, Martinsried, was founded
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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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The German Institute for Global and Area Studies (GIGA) / Leibniz-Institut für Globale und Regionale Studien is an independent social-science research institute based in Hamburg. It analyses
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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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collaborative learning and how these processes can be automatically assessed and supported using multimodal data and AI-based methods. The postdoctoral researcher will play a leading scientific role in
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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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analysis, ideally using Python-based tools and frameworks, with familiarity in areas such as statistical modelling, machine learning, computer vision, or optimisation approaches for experimental systems
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academic and industrial expertise in epigenetics, mathematical modelling and high-resolution stable isotope labelling based analysis of the dynamics of metabolic cofactors and post translational