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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Position description The Ocean Policy Lab seeks a postdoctoral scholar in economics or a related quantitative social science to collaborate
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astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based
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machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
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using wearable electroencephalogram (EEG) during sleep. Our goal is to pioneer developments in wearable technology that integrate reinforcement learning to discover novel strategies for human interaction
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analysis, data organization and quality control, software testing, visualization of research data, scientific documentation, and general laboratory research support while working collaboratively with a
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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) Human-AI symbiosis, with the initial use case of aiding in neuromuscular rehabilitation. Researchers will collaborate with leading scholars in AI, machine learning, robotics, reinforcement learning, and
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faculty affiliated with the policy research taskforce of the Critical Minerals Hub at Duke University and will support collaboration and integration at the nexus of multiple disciplines involved in the Hub