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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 20 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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modeling, causal inference, Bayesian methods, computational modeling, and machine-learning approaches. Responsibilities include maintaining an active program of research, pursuing external funding
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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
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conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 16 hours ago
, functional neural network analyses, fNIRS, EEG / ERP , noninvasive brain stimulation, machine learning approaches or other related methodologies that provide mechanistic insight to advance our
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models, multimodal AI systems, or related machine-learning technologies Strong programming expertise in Python and experience with frameworks such as PyTorch, Hugging Face Transformers, or equivalent
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Things, big data and machine learning, smart grids and power electronics. Interdisciplinary work within this environment is strongly supported and encouraged. EE is one of nine departments in the School