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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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with causal inference methods or machine learning approaches Demonstrated experience in scientific writing and publication Ideal for candidates who: Have recently completed (or are near completion of) a
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:59 AM UnitedKingdomTime (posted 2026/03/10 04:00 AM UnitedKingdomTime, listed until 2026/10/01 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description The Signal Inference
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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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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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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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of disease. Candidates should have a proven track record of peer-reviewed first-author publications in respected journals. Previous experience in cancer biology, pharmacology, bioinformatics, and cancer
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, sensors, and computing devices). The ability to communicate effectively with research participants, clinicians, and team members is essential. Education/Training EXPERIENCE: Demonstrated track record