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Field
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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manipulations. Assay Development: Support the development of cellular and biochemical assays to complement in vivo findings. Data Analysis & Interpretation: Analyze complex datasets from in vivo and in vitro
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, big data analytics, and health campaign formative and evaluation research are preferred. Candidates from diverse backgrounds, including those from groups that are underrepresented in health-related
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general coordination of the imaging data. Develops detailed documentation for analytical pipelines. Works with the supervisory team to write new grant applications for the expansion of the multi-modal
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environmental quality. The fellow will contribute to field and laboratory studies, data analysis and modeling, publication of results, and development of decision-support tools for producers, advisors, and agency
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testing and evaluation in critical minerals mine sites. Duke University has established state-of-the art analytical facilities capable to measure a wide range of isotopes and radionuclides, including boron
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Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the Electrical and Computer Engineering
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Posting Close Date 05/31/2026 Qualifications Minimum Education and Experience PhD or MD in biomedical engineering, data science, computational sciences, neurobiology, psychology, epidemiology, cognitive
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. Required Education Appropriate doctoral degree Preferred Qualifications PhD in Neuroscience Prior experience with electrophysiology and/or two-photon microscopy imaging Data analytical skills including
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, mineral, or biochemical analysis. •Use analytical equipment (pH meters, CO2 sensors, soil/root/plant sensors, chlorophyll fluorescence, etc.) and process samples using standard laboratory analytical