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Qualifications: • Ph.D. in epidemiology, public health, economics, health policy, health services research, or a related field. • Strong quantitative and analytical skills, with proficiency in statistical software
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-immune interactions—are synchronized by gene networks, how these processes malfunction in disease, and ultimately apply this knowledge to engineer cell communication for therapeutic purposes. Required
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to work with large language models (LLMs) and unstructured clinical text from electronic health records (EHRs). Desired technical skills include prompt engineering, few-shot and zero-shot learning
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lab meetings, journal clubs, and collaborations Required Qualifications: M.D. or Ph.D. in Neuroscience, Cancer Biology, Biomedical Engineering, Electrical Engineering, Radiology, or a related field
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Qualifications: • Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. • Strong coding skills in R, Stata, or other statistical software package. • Good