36 programming-language-"Prof.-Dr"-"Prof" Postdoctoral positions at Duke University in United States
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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages
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Duke University, English Department Position ID: Duke-English-PA [#31122] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map
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animal species, generating standardized data that works effectively across diverse languages and cultural contexts while eliminating traditional barriers of recall bias. These methods are being deployed in
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. Postdoctoral Associate – Psychiatry – Behavioral Medicine – Shelby Lab Be You. The Cancer Symptom Management and Support Program is seeking a Postdoctoral Associate for a position beginning in September 2025
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. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with shell scripting, cluster or cloud computing infrastructure
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green chemistry research is desired. The candidate should have the ability to and be excited to work in a diverse lab group setting, plan and conduct assessments independently and collaboratively
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the individual's research skills for his/her primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This
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science in peer-reviewed journals • Excellent written and oral communication skills • Successful candidates will have one or more of the following: comfort in field settings; experience with experimental
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related fields, with expertise in Black feminist studies. The fellow will have two primary responsibilities: 1. to help conceptualize, plan, and organize the annual Black Feminist Theory Summer Institute
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Program, and the field site in Kenya, and engage with investigators at all sites across various disciplines. The project will focus on conceptualizing, innovating, and implementing data-driven approaches