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single coherent framework that truly understands its environment. You have a master's degree in Computer Science, Artificial Intelligence or similar. You are interested in Logic, Machine Learning
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statistical, computational, and/or machine learning methodologies to address them. The search is broad and welcomes research spanning modern statistical methods, machine learning, AI, and emerging approaches
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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, hardware development, machine learning and signal processing, and system integration. We are interested in working on different areas to improve the BCI technology. These areas include (but are not limited
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: Machine/deep learning, artificial intelligence, statistical modeling, or computational modeling Human neuroimaging analysis, including functional MRI, structural MRI, connectivity, or brain circuit
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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 address
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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
. Great writing skills, motivated and driven to publish. Additional Qualifications: Background in bioinformatics systems, connectomics network analysis and machine learning modeling confer a very
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Interaction, Robotics, Cognitive Science, Psychology, or a related field. Strong programming skills, preferably in Python, with experience in machine learning and data analysis. Familiarity with one
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; 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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; agent learning and adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer