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vision for excellence in research, teaching, outreach, and lifelong learning. We ensure a workplace that encourages growth, flexibility, and creativity, as well as a culture that champions overall employee
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) research in the areas of clinical and health informatics, systems interventions, community participatory research, human-computer interaction, usability, mobile technology, bioinformatics and biomedical
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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of artificial intelligence and behavioral neuroscience. This individual will join our interdisciplinary team of computer scientists and behavioral neuroscientists seeking to identify the mechanistic and
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and photonics Neuromorphic computing, artificial intelligence and machine learning Quantum and 2D materials technologies & systems Micro and nanoelectromechanical systems (MEMS/NEMS) Electromagnetics
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and photonics Neuromorphic computing, artificial intelligence and machine learning Quantum and 2D materials technologies & systems Micro and nanoelectromechanical systems (MEMS/NEMS) Electromagnetics
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genomics, or other related research area. Candidate must have expertise in large datasets, developing analysis pipelines, omics analyses, the ability to program and use command line tools, machine learning
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position under the supervision of Dr. Chris Smith Home | Chris Smith . Our new lab in Evolution, Ecology, and Behavior investigates machine learning approaches for population genetics. Our research
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therapeutics, wearables, artificial intelligence (AI) and machine learning (ML), public health surveillance systems, and virtual/augmented/extended reality. Health conditions of interest are also broad and may
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, synaptic growth, brain network organization and connectivity, cognitive function) Using advanced neuroimaging and/or machine learning techniques to understand the connection between physical activity