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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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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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and adults with brain tumors. We leverage molecular biology techniques, genetically engineered mouse models, and cancer genomic approaches to carry out our work. The Reitman Lab is based in
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roles of RNA methylation in the control of gene expression. We have several exciting projects aimed at new technology development as well as investigation of RNA methylation in cellular function and
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candidate) in a quantitative discipline, including Computational Biology, Bioinformatics, Computer Science, Bioengineering, Biophysics, Biostatistics, Mathematics, Statistics, Electrical Engineering
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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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biology, biochemistry, cell biology, or immunology. Work in our lab involves computational modeling, molecular biology, protein engineering, recombinant protein expression and purification, high-throughput
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Radiation Oncology, and Electrical and Computer Engineering. Job Description: The Computational Image analysis team led by Dr Barisoni and Lafata aims to advance existing imaging techniques and develop novel
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manuscript development. We are particularly interested in candidates with expertise in genome and epigenome editing; CRISPR-based disease modeling; protein engineering; and/or high-throughput genetics
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Fellow will be supervised by Dr. Chuan Hong at Duke University. Position Qualifications Ph.D. in Biostatistics, Statistics, Computer sciences, Data Science, Engineering or a related quantitative field