41 parallel-processing-bioinformatics research jobs at Duke University in postdoctoral
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independently and collaboratively in a multidisciplinary research environment. Prior experience in cancer biology is preferred but not required. Experience with mouse models, genomics, bioinformatics
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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
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Title: Post-Doctoral Associate Position Summary: The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine engages in methodological and collaborative research
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., or equivalent degree in biology, genetics, genomics, molecular biology, cell biology, computational biology, bioinformatics, immunology, bioengineering, or a related field. Candidates with experience in genomics
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. • Hands-on experience with mouse models, including animal handling, procedures, tissue and fluid collection, and preparation for assays or histology. • Experience with bioinformatics and biostatistical
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: Post-Doctoral Associate Position Summary: The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine engages in methodological and collaborative research, providing
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under Drs Ostrom and Patel’s mentorship. Be You. Requirements: The applicant should have a Ph.D. in computational biology, bioinformatics, computer science, statistics, genetic epidemiology, or a related
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: • Animal handling experience. • Intellectual curiosity and a growth mindset. • Biostatistics and bioinformatics expertise for scRNA-seq analysis. • Experience with molecular, cellular, biochemical, and
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cleaning, standardization, and quality assurance activities to support reproducible research. Image Processing & Annotation Preprocess ophthalmic images for machine learning applications through resizing
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and