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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics
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with healthcare data is welcome but not required. Required Qualifications: A PhD in a quantitative field with a strong programming and statistics background Experience analyzing large datasets
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, particularly in data analysis Experience with statistical analysis (e.g., SPSS, MATLAB) and programming (e.g., R, MATLAB, Python) Experience with fMRI data collection and analysis (e.g., FSL, SPM) Required
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Appointment Term: 2025-2026; 12-month appointment Appointment Start Date: September 1, 2025 Group or Departmental Website: https://hai.stanford.edu/research/fellowship-programs/hai-postdoctoral-fellow-al
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Program at the Stanford Cancer Institute. She has an academic interest in Precision Medicine and her lab applies cutting-edge sequencing and imaging technologies to better understand skin cancer and rare
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of Medicine) and Steve Gorelick (Doerr School of Sustainability), and will work alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or
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work on a priority research program in which individuals are assessed with functional MRI, behavioral, and symptom measures before, during, and after treatment. Treatment includes selectively targeted