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outcomes in cancer, and conducting Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high
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methods to suit the model, data structure, and scientific question. Experience with Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific
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models as well as deep learning algorithms for detection, segmentation, and classification. We are currently working on problems in the domains of radiology, surgery, cardiology, and oncology. This
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, and object information. Design, implement, and evaluate computational models and reproducible analytical pipelines. Validate automated behavioral measures against expert human coding standards. Develop
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Stem Cell , 2026). Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . We are especially interested in candidates excited to contribute to a new NIH program
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Profiling (AMP) Laboratory ( https://anesthesiology.duke.edu/research/serbanescu-lab) under Dr. Mara Serbanescu in the Department of Anesthesiology at Duke University School of Medicine is seeking a full
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. Duke University is in Durham within the Research Triangle, an affordable, vibrant and growing community. Learn more here: https://research.duke.edu/prospective-postdocs/. Screening of Applications
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therapeutic studies. Learn more about our research by visiting https://www.theoliverlab.com/ or searching "Oliver TG" on PubMed. Minimum Requirements: Ph.D. in Cancer Biology, Cell Biology, Molecular
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should complete the application process described in the Duke University Aging Center’s T32 Postdoctoral Research Training Program website (https://agingcenter.duke.edu/postdoc), AND submit an
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, and a wide array of family-friendly andcultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer