60 data-science "https:" "https:" "https:" "Princeton" Postdoctoral research jobs at Duke University
Sort by
Refine Your Search
-
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
-
: Education: PhD in Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Experience/Training: Must have experience with analyzing omics data. Familiarity or
-
, Ophthalmic Imaging on the iMIND Study Team, you'll play a critical role in advancing innovative vision research through artificial intelligence, data science, and interdisciplinary collaboration. Working
-
future conversations about global studies at Duke. In this role, you will conduct research, analyze data, and communicate findings that demonstrate the broad impact of Duke's faculty, students, and
-
notochord segmentation in zebrafish. You will lead the execution of the experimental plan, work on the design of the data analysis methods, and perform the appropriate computational analyses. You will
-
Qualifications: At least one year of experience (including doctoral research) in an analytical chemistry laboratory. The ideal candidate will have strong skills in mass spectrometry (coupled with HPLC), data
-
head and neck cancer. Minimum Requirements Doctoral degree in Epidemiology, Biostatistics, Public Health, Population Health Sciences, Health Services Research, Data Science, Cancer Prevention/Control
-
(GEMINI) Center is recruiting a Postdoctoral Associate to the Division of Translational Health Sciences. The position will be focused primarily on implementation science projects, data analysis
-
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
-
, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience in at least one of the following fields: Agentic AI, Large Language Models, Artificial