7 phd-in-educational-statistics PhD positions at Duke University

  • Duke University | Durham, North Carolina | United States | about 2 hours ago

    position is funded by multiple NIH projects, e.g.,   https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical

  • Duke University | Durham, North Carolina | United States | 2 months ago

    program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas

  • Duke University | Durham, North Carolina | United States | about 1 month ago

    ) and arthritis pain (e.g. psoriatic arthritis pain), with a focus on ion channels and neural circuits. Candidate must have completed the requirements for the PhD degree or equivalent in Neuroscience

  • Duke University | Durham, North Carolina | United States | 4 days ago

    directly with the PI on applying interdisciplinary neuroscience and electrophysiology techniques toward studying the nervous system of the heart. Qualifications: Education 5 years or less from a PhD or MD

  • Duke University | Durham, North Carolina | United States | 18 days ago

    . Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3D organoids, primary cell purification, and culture skills are particularly welcome. Requirements: A PhD or MD/PhD

  • Duke University | Durham, North Carolina | United States | about 2 months ago

    regulation. Minimum Qualifications Education See job description for education requirements. Experience See job description for requirements. Duke is an Affirmative Action/Equal Opportunity Employer committed

  • Duke University | Durham, North Carolina | United States | about 1 month ago

    ) to discover multi-modal biomarkers, immune-microbe interaction modules, and spatially localized signatures associated with disease outcomes. • Develop novel AI-driven frameworks to predict clinical phenotypes

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