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field (e.g., geography, resource management, environmental studies/science, or related disciplines) with strong experience in causal inference research. The ideal candidate will be a highly motivated
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inference skills are also encouraged to apply. - Degree must be conferred by the start of the fellowship. Applicants should be no more than two years past Ph.D. as of July 1, 2026. - Demonstrated interest in
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
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. Occupational Summary The Department of Neurology seeks a Post-Doctoral Fellow to work in the Vascular Neurology division on clinical research at the interface of causal inference, econometrics, biostatistics
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and experience: • Strong background in experimental design and/or causal inference (lab, field, or online experiments) • Extensive experience with data analysis (e.g., R, Python, or similar) • A clear
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adaptation, dataset shift robustness) Causal inference for risk prediction and decision support Fairness and trustworthy AI in healthcare applications Multi-modal representation learning and integration
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and simulation of RNA transport and organization in developing cells, and parameter inference and identifiability for biophysics experiments. The work will be performed in a cross-disciplinary setting
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PhD in History or related field Background in high-level research that examines issues related to equity and social justice, broadly construed Training in oral history methods and track record of oral
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, social media and science communication, and writing accountability/support required, as the candidate will lead efforts in those areas. Experience in grant writing is preferred, as is a track record of
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rising, highly ranked engineering schools in the nation. The school consists of four departments with 130 tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD