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project funded by the Marianne and Marcus Wallenberg Foundation, we pose three specific research questions: What salient elements in cognitive models represent family forest owners’ perceptions and
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Multiple Research-Intensive Associate/Full Professor Tenure System Positions & an 1855 Professorship
Position Requirements and Apply to job #1059449 https://careers.msu.edu/jobs/associate-full-professor-tenure-system-flint-michigan-united-states-86556cc5-396d-471e-b100-1e0d63e7d387 Multiple Associate
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and Centers: Graduate School of Education Psychology Pediatrics Postdoc Appointment Term: 2 year Appointment Start Date: Open position How to Submit Application Materials: https://forms.gle
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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