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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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Health Sciences. The position will be focused primarily on analyzing data from projects related to emergency medical services, focused on stroke care, and climate change implementation science. This role
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post-doc will lead the project activities related to this work, including refining analytic approaches, conceptualizing important research questions, implementing data analysis best practices, analyzing
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different countries. The successful candidate will be adept at crafting data‑driven narratives aligned with project priorities, have a strong record of peer‑reviewed publications, and demonstrate excellent
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etc; Candidates with multidisciplinary backgrounds are welcome. · Strong skills in computational and data analytical methodology development and implementation; experience in machine learning and deep
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medicinal chemistry. • Proficiency in modern analytical techniques. • Demonstrated ability to work independently and as part of a collaborative team. • Excellent problem-solving skills and scientific
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high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including parameter estimation and uncertainty
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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clinical, computational, or developmental sciences relevant to mental health. Preferred Qualifications: Strong analytical, organizational, and communication skills. Demonstrated ability to work independently