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Professor. Contribute to the writing and publication of scientific papers. Qualifications Ph.D. in Statistics, Biostatistics, Biomedical Informatics, Computer Science, Data Science, Engineering, or a related
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) to develop computational methods and also collaborate with other groups in quantitative genomics areas in and outside Duke University. Preferred qualifications: PhD (completed in the last 1-3 years or PhD
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but are not limited to graft-versus-host disease as well as hematopoietic and T cell reconstitution following transplantation and radiation exposure. Qualifications: A doctoral degree such as MD or PhD
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channel-count micro-ECoG arrays (up to 1000 channels, ~ 1 mm spacing) in collaboration with other labs. The ideal candidate will have a PhD in Neuroscience, Engineering, Psychology, or a related field
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. The Postdoctoral Appointee holds a PhD. (or PhD. candidate) or Knowledge, Skills, and Abilities. University. research requirements or other equivalent doctorate Ph.D. in life science (e.g.biochemistry, biophysics
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experience in with the following skill sets: immunoblot, molecular cloning, PCR, mammalian cell culture, flow cytometry, genetically engineered mouse colony maintenance, immunohistochemistry, light and
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Science, Engineering, or a related quantitative field. Strong quantitative research background with proficiency in statistical analysis and programming (R, Python). Excellent communication skills
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organizations. Minimum qualifications: A PhD in computer science, math, engineering or a related field and three years of related experience in programming and software systems or an equivalent combination
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herein. Education Work requires a PhD o r MD degree or equivalent. Exp erience Work requires 2 ye ars related laboratory experience or any other equivalent combination of relevant education and/or
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molecular biology techniques including but not limited to flow cytometry, cell culture, immunohistology, immunoblotting, and transcriptome analyses. work with other lab members including but not limited