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support; agent learning and adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer
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computational/theoretical approaches that bridge the gap between neuroscience and artificial intelligence, machine learning, and other areas of computational sciences. We are seeking a new colleague whose work
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, Computer Science, Data Science, Engineering, or a related field. They should demonstrate a strong combination of business acumen and technical expertise in AI and machine learning. Excellent
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 1 month ago
component across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 16 days ago
or predictive modeling of dynamic radar scenes. The project combines methodological machine learning research with experiments on real automotive sensor data. You will have access to research vehicles
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demonstrated expertise in Quantitative Psychology (such as Psychometrics, Educational Research Methods, Statistics, Data Science, Machine Learning) is required; however, A.B.D. candidates will also be
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and interpreting results, and benchmarking brain-inspired architectures against conventional machine learning methods. You are also expected to actively participate in academic discussions with
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MSCA Doctoral Network ( https://www.elevate-dn.eu/ ) and co-supervised by our partners at the university of Liège. Your tasks in detail: Develop an event-driven learning algorithm for latent reasoning
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longitudinal methods, multilevel modeling, causal inference, Bayesian methods, computational modeling, and machine-learning approaches. Responsibilities include maintaining an active program of
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Professor in Psychology. We welcome outstanding candidates from all areas of psychology whose research applies computational approaches, including machine learning and artificial intelligence, to