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phenotyping, sequencing, gene editing, and the isolation and characterization of extracellular vesicles is desired. Proficiency in bioinformatics tools and programming languages (e.g., R, Python) for data
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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
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equivalent degree from an epidemiology, biostatistics, data science, computer science, or related programs with an interest in population health measures to apply. The scholar will join a vibrant and growing
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statistical programming. Strong programming skills in R are required. Required Application Materials: A cover letter, CV, a short description of research interests, and contact information of three referees
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required. The candidate must have demonstrated proficiency in machine learning, natural language processing, and working with large-scale health datasets. Strong programming skills in both Python and R
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Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within
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or expertise with flow cytometry and flow analysis programs are required. Prior exposure to principles of allergic responses is desired but not required. Experience with RNA library preparation, RNA sequencing