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Huszar | Neil D Lawrence Signal Processing and Communications @ CUED Simon Godsill Back to top Cambridge Machine Learning Group . Follow us on @CambridgeMLG and check out our GitHub Cambridge-MLG
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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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machines Machine Culture Ongoing work on social reinforcement learning and evolutionary optimization of social strategies Our aim is to advance the scientific knowledge of human-AI systems by understanding
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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researcher in Computer Science, Data Science, Human-Computer Interaction, Psychology, Empirical Educational Research, Learning Sciences, Cognitive Science, or related disciplines who is eager to contribute
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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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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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would be desirable: - practical experience with ultra-cold quantum gases and/or atom interferometry - experience in computer aided design (preferably Autodesk) - programming skills
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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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platform addresses the inhibiton of target enzymes using allosteric approaches that hit the unique activation mechanisms that underlie the regulation of the molecular machines that the company focuses on. In