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Field
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medication use Applying frameworks such as the Andersen Behavioral Model (ABM) and 4Ms of Geriatrics Conducting advanced data analysis and predictive modeling Engaging patients, caregivers, and health system
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design based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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naturally infected animals. Most of the effort will be spent on cell cultures, molecular tests, animal studies, and associated data collection and analysis. Start date is negotiable; The successful candidate
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://www.ornl.gov/directorate/isotopes for more information about ISED. This position resides within the Target Design, Analysis, and Qualification (TDAQ) group in the Radioisotope Production Engineering and Analysis
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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analyses and write-ups for the study alongside the Data Coordinating Center. Mentorship of junior team members, including graduate students and staff. Analysis and write-up of papers from already collected
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data collection and scenario design. Techno-Economic & Environmental Analysis Compare material intralogistics handling alternatives (IPCC, trolley assist, battery trucks, etc.) via life-cycle cost and
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. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, western blotting, and cell culture Experience with murine models of bacterial infection Proficiency in experimental design and documentation, data analysis and visualization, and troubleshooting Experience