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consortium, consisting of academic and industry partners, to create solutions and prototypes for projects in application areas, including autonomous systems, robotics, cognitive and distributed sensing, and
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activities. Student-lead projects are presented yearly at conferences, including Society for Neuroscience and Cognitive Neuroscience Society. At Belmont, a variety of scholarly productivity is valued
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monitoring; fall detection and prediction; dementia care and wandering prevention; activity tracking for chronic disease management. Artificial Intelligence & Machine Learning: Predictive risk modeling
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research advances quantitative and/or computational methods in psychological science. Areas of interest include (but are not limited to): psychometrics, computational modeling, machine learning and
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requires deep expertise in Snowflake’s core capabilities—including data modeling, performance tuning, ELT pipelines, security controls, and orchestration—while also preparing the university for advanced AI
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; dementia care and wandering prevention; activity tracking for chronic disease management. Artificial Intelligence & Machine Learning: Predictive risk modeling for falls, hospitalization, and cognitive
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and prediction; dementia care and wandering prevention; activity tracking for chronic disease management. Artificial Intelligence & Machine Learning: Predictive risk modeling for falls
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scientific understanding. The Duke Eye Center's iMIND (Imaging, Modeling, and Intelligence for Neurodegeneration and Disease) research team is dedicated to leveraging advanced ophthalmic imaging, machine
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Duties Provide structured child-focused home visiting that promotes the parents' ability to support the child's cognitive, social, emotional, and physical development, beginning prenatally through
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neurodegeneration, behavioral and systems neuroscience, neurological disease modeling, or developmental neurobiology. The candidate will establish their research lab in the Biology Department, housed in the