Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
supports students and researchers from diverse backgrounds as they pursue data‑driven scientific discovery. Be Bold. What You’ll Do: • Conduct biological data collection, bioinformatics workflows, and single
-
Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a new NIH-funded Center for Excellence in Multiscale Immune
-
Position Summary: The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine engages in methodological and collaborative research, providing international and
-
partnerships with local Duke EM partners. •Strong quantitative skills in the areas of biostatistics, bioinformatics, and/or epidemiology. •Strong programming skills (R or Python preferred). •Knowledge
-
, programmers, and interdisciplinary collaborators. Minimum Requirements: Graduate degree (PhD or Master’s degree) in biostatistics, bioinformatics, computational biology or a related quantitative field OR
-
postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate
-
responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
-
) in biostatistics, statistical genetics, bioinformatics, epidemiology, or a related quantitative discipline. Experience analyzing human genetic data, with demonstrated proficiency in statistical
-
resolution. Our methods include genomics (e.g., spatial transcriptomics, single-cell transcriptomics, metagenomics), bioinformatics (including machine learning and artificial intelligence), synthetic biology
-
to support your career goals and provide access to state-of-the-art facilities. Candidates with background knowledge and hands-on experience in transcriptional regulation, 3D-organoids and bioinformatics