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ability to work effectively with other team members both in the lab at Duke and with partners from international great ape field sites in Tanzania, Uganda, and Rwanda. Prior experience with large datasets
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cancer, or related field Preferred Qualifications: Experience working with mammalian cell culture and animal models of cancer (xenografts and GEMMs) Familiarity with next-generation sequencing platforms
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, Statistics, Biostatistics, Computer Science, Computational Biology, Systems Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field Demonstrate strong computational and
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. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) in a science related field This position is Onsite. The work is performed on-site or at a designated assigned location. Be Bold. Design and construct isoform
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Education/Training: Work requires a PhD degree in biochemistry, molecular biology, pharmacology or other science related scientific field. Experience: None required above education/training requirement
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Ph.D. in psychology or a related field is required. • The ideal candidate will have demonstrated ability in writing research papers, expertise in advanced quantitative methods, outstanding communication
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preferred) in neuroscience, biology, biochemistry or related field and proficiency in molecular and biochemical approaches is required. The candidate must be flexible and willing to function is a fast-paced
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) in Computer Science, Biostatistics/Statistics, Mathematics, or a related field by the start date. Skills: We welcome candidates grounded in one or more of the following: Mathematical statistics
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to improve their engineering skills while becoming familiar with current healthcare problems. Career development benefits: Duke University is committed to mentoring and supporting young investigators. It
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hold a Ph.D. (or be nearing completion) in molecular biology, biochemistry, genetics, neuroscience, computational biology, or a related field, and have a strong publication record and demonstrated