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Field
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-assisted model calibration, or pattern detection in large observational datasets) to improve nutrient-cycling representation and reduce predictive uncertainty in models. Collaborate with an interdisciplinary
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cancer populations Research methods/design Basic statistical analyses Cognitive-behavioral therapy knowledge or experience Acceptance and commitment therapy knowledge or experience Research publications
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will primarily involve organic synthesis lab work and analysis of new materials. Previous experience with electrochemical analysis or battery materials testing is a bonus. The candidate will design or
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Postdoctoral Associate (9-Month Position) Be You. At Duke, we celebrate individuality and the unique perspectives that drive innovation and discovery. As a Postdoctoral Associate, you will join a
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-assisted model calibration, or pattern detection in large observational datasets) to improve nutrient-cycling representation and reduce predictive uncertainty in models. Collaborate with an interdisciplinary
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options for UNF and related separations flowsheets, with an emphasis on hands-on experimental work in radiochemistry laboratory environments. Responsibilities include designing, building, modifying, and
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funding. Responsibilities: Research Under general supervision, is responsible for conducting research into their field of expertise. Design, execute, and analyze independent research projects aligned with
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of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities research. Experience analyzing large secondary datasets, claims data, registry data, EHR data
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Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral