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, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics
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record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a
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program. T • The ideal applicant will have prior experience in neuroimaging analysis and a strong background in Python, Matlab, &/or R, and/or facility in other scripting languages and the willingness
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-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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POSTDOCTORAL POSITION, RAREDON LABORATORY, 2025-2027 T32 Training Fellowship Yale School of Medicine Department of Anesthesiology Vascular Biology & Therapeutics Program in Translational Biomedicine
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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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biology lab that is focused on utilizing genetic approaches to understand and exploit resistance mechanisms to DNA damage. Our research program has a particular interest in studying the interplay between
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management for use in the ELTI-Rwanda program (click here for a Spanish-language example in the Neotropics). Secondary Duties (when Feasible) Participate in the working group established by ELTI’s program
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imaging datasets. Strong programming skills with experience in Python. Good written and verbal communication skills in English. A track record of peer-reviewed publications. Great to have: Experience with
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. Strong background in epidemiological/statistical methods, including coursework and research experience in causal inference and evidence synthesis. Programming experience using large datasets (e.g., R, SAS