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outside Duke University. Preferred qualifications: PhD (completed in the last 1-5 years or PhD candidate) in a quantitative discipline, including Computational Biology, Bioinformatics, Computer
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, you will focus on delivery methods for genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation, and bioinformatics
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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, the department of Biology, the Global Health Institute, the Duke Medical Center, and Civil and Environmental Engineering , who work together via interdisciplinary research and training programs such as the
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(PhD in computational biology, statistics, genetics or related field) with excellent quantitative and dry lab skills. The successful candidate will be expected to develop and lead computational analyses
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data science, computer science, bioinformatics, structural biology, or a related area, and have experience in image analysis, machine learning and/or scientific computing. Informal inquiries should be
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Associate to join our fully integrated laboratory. With equal commitment, expertise, and infrastructure in computation, wet-lab biology, and chemistry, our lab aims to advance the development of novel