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and counseling to patients/family in making desired changes in eating habits. Performs all aspects of patient care in an environment that optimizes patient safety and reduces the likelihood of medical
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, optimization, and management of high-resolution spatial transcriptomics and proteomics workflows in the Spatial Profiling Hub Core Facility under the direction of the Core Director. This role is responsible
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experience DSU online. This role is responsible for creating, editing, and optimizing content across DSU’s digital platforms, ensuring information is accurate, engaging, and aligned with the university’s brand
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approaches. Collecting and integrating non-radiological (clinical) data for comprehensive analysis. Optimizing imaging protocols and scanner workflow. Contributing to ethics applications and study preparation
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Location Lexington, KY Grade Level 48 Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https
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Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0247.pdf CALL FOR GRANT APPLICATIONS (AE2026-0247) INESC TEC is now accepting grant applications to award 1 Research Grant (BI) within
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programme Reference Number AE2026-0239 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0239
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programme Reference Number AE2026-0232 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0232
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utilization of resources using current knowledge and awareness of community resources to achieve optimal care. This includes assisting with discharge planning, insurance verification & authorization, obtaining
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., OMOP, Epic Clarity/Caboodle), including cohort discovery platforms Proficiency in SQL and Python for data transformation, pipeline development, and query optimization, applied through sound data modeling