34 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"U.S" Postdoctoral positions at Duke University
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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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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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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
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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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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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primary responsibilities include: Participation in a semester-long weekly seminar devoted to feminist intellectual histories of the 1980s; Conceptualizing and organizing intellectual programming
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related to the economics of afforestation in low- and middle-income countries (LMICs). The planned research includes three components: (i) a systematic review on survival rates in tree-planting programs
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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implementation of citizen science initiatives, including outreach programs, sample collection protocols, IRB compliance, participant recruitment, and data return strategies Collaboration with international