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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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experience with python and/or R is required, experience with one or more of the following skills will be an asset. However, if the individual is willing to learn these skills, there are opportunities to learn
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cardiovascular research or related clinical specialties. Proficiency in R or Python for data analysis. Appointment Date: The anticipated start date is July 1, 2025, with some flexibility based on candidate
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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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. * 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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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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. Requirements: Candidates must have either a PhD, MD/PhD, or equivalent to apply. A background in R, Python, or other coding language is preferred but not required; candidates must have at least 1 first-author
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is expected. Excellent programming skills (R or Python, Linux shell scripting) and experience with high performance computing in Linux environment is required. Yale University is an Equal Opportunity
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. Experience with programming languages (e.g. Python and R) and command line interface is required. Experience with one or more of the following is desired: large-scale genomic analyses, variant calling, high
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languages (Python preferred). - Excellent communication skills and a collaborative mindset. What we offer: - A supportive, interdisciplinary research environment. - Access to cutting-edge computational