78 data "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Duke University
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will help advance novel imaging technologies, analyze complex medical imaging data, and contribute to research that has the potential to improve patient outcomes worldwide. What You'll Do: Conduct
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on identifying and validating surrogate endpoints for overall survival using data from cancer clinical trials and patient registries, developing prognostic models of clinical outcomes in cancer, and conducting
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deep learning for CT image analysis and reconstruction Computational and digital-twin models for preclinical imaging Analysis of longitudinal and dynamic imaging data Development and validation
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RNA sequencing (scRNA-seq) data analysis. Previous hands-on experience with cell culture techniques. Experience designing and conducting independent scientific research. Strong analytical, problem
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neurologists, neurosurgeons, sleep medicine specialists, engineers, and data scientists, you will have the opportunity to contribute to groundbreaking discoveries while expanding your scientific expertise in a
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orbitrap high resolution mass spectrometry. Other duties will depend on the Scholar’s prior experience but may include sample analyses, data analysis, or supervising and mentoring students. Work Performed
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their work at national conferences, mentor junior researchers, and develop the skills and preliminary data needed for an independent research career in any sector. Choose Duke. Scientists with strong
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Qualifications:. PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience in at least one of the following
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career goals Curriculum vitae Contact information for three references Representative publications or preprints, if available Review of applications will begin immediately and continue until the positions
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at this intersection is required. The candidate should have the ability to work in a diverse lab group setting, planning and conducting assessments independently and collaboratively, interpreting data, and presenting