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computational modeling of behavior to identify the underlying circuit computations. Current projects in our laboratory emphasize task-structured behavior assays, including set shifting, reversal learning
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disease which combines behavioral and genetic models, metabolic, neuroendocrine and imaging techniques in living animals as well as sophisticated molecular and structural biology analyses of neuropeptides
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in community-based participatory research to develop community-based programs and educational models. We are dedicated to increasing equity, diversity, and inclusion across our academic programs
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Expertise in conducting advanced statistical analyses (e.g., data reduction techniques, multilevel models, structural equation modeling) in SPSS, Stata, Mplus, or R Proficiency in data visualization Potential
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diseases using animal models and related experimental techniques and technologies. The Grossman Center is involved in basic research in the field of Alzheimer’s disease and traumatic brain injury
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necessary for career entry. Preferred Experience with plant breeding field data collection and analysis Experience with genome-wide genotyping data, quantitative genetics, and genomic selection modeling
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in projects related to simulation/mathematical/decision analytical modeling and cost-effectiveness analysis for harm reduction and other interventions aimed at preventing drug overdoses (primary focus
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contribute to the growing understanding of how students learn; through their teaching and outreach, we model the implementation of evidence-based educational research; and through our mentoring of graduate
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, dependent on availability of funding and performance Qualifications Required qualifications: PhD in atmospheric sciences, or related field Expertise in air quality modeling Excellent oral and written
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on the Biology of Aging and Metabolism. His research program is focused on discovering fundamental mechanisms of aging. His laboratory employs novel animal models, primary human cells, and human tissues