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mechanical engineering, or related field to apply. A strong publication record is encouraged and previous experience in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial
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of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 28 days ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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with Dr. Emily Becker and the NOAA Climate Prediction Center. Key responsibilities Train neural networks and quantify uncertainty to evaluate predictability Perform explainable AI (XAI) related research
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execute a novel research program at the interface of sensory-motor systems, quantitative behavior, and neural computation. The Audette Lab is a new research group funded by the University of Connecticut and
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of research include quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with particular focus on applying
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in our group delves into the fundamental neural processes that influence eating behavior, energy expenditure, physical activity, glucose metabolism, all of which play pivotal roles in metabolic health
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physiology and neural activity in the brain, gastrointestinal (GI) tract, and other peripheral organs. These projects have a high potential for translation towards treating a variety of neurologic and
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. 1) Linking Retinal, Neural, and Perceptual Deficits in Visual Disorder: Individuals in the UAE are at substantial risk for perceptual deficits due in part to one of the highest diabetes rates in
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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer