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intensive care units. The Research Assistant oversees data collection, data organization, and/or data management or similar functions/tasks for research study(ies) in support of a PI or a research team
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Science Objectives: The goal of this activity is to create and validate Big Data analysis methods for digital twins in hydroponics. The system processes massive datasets to refine crop models and individual
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thalamocortical interactions in different brain models (tree shrew, macaque, human neurotypical, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to
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Position Details Position Information Requisition Number Stu04895P Home Org Name Clinical Sciences Division Name College of Veterinary Medicine Position Title Student Worker - JTV Large Animal
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, with particular interest in full professors. This is an exceptional opportunity for a dynamic, forward-thinking leader to guide a large and complex department through a period of transition toward
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that data integrity needs are met in a timely and accurate manner. Responsibilities: Data Integrity (Library Services Platform): Manages discrete large-scale metadata, maintenance, and enhancement projects
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 hours ago
resume reflects the knowledge, skills, abilities, and experiences to support your answers to the supplemental questions. UNC Charlotte Benefits Information: https://hr.charlotte.edu/benefits/benefits
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to end September 2026, with occasional work on weekends and evenings. For more information about the UConn Department of Extension, please refer to our website: https://cahnr.uconn.edu/extension
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quantitative skills in applied economic or financial analysis, including experience with causal inference and large-scale data sets. - Experience working in interdisciplinary or applied research settings