48 programming-language "Data driven Materials Modeling" Postdoctoral positions at Duke University
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science methods application and dissemination Demonstrated proficiency through previous developed analytical codes with R Language for Statistical computing, and qualitative analysis using NVivo
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. Duties and Responsibilities : Design and perform experiments related to funded programs, specifically: synthesize, characterize and evaluate candidate compounds in microbiological assays; collect and
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for postdoctoral fellows. We are seeking highly motivated candidates to join our research program in regeneration genomics. Our laboratory develops and applies cutting-edge genomics and proteomics technologies
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on implementation science approaches, to guide implementation, evaluation, and continuous learning. Lead and conduct analyses that generate actionable insights for policy, program improvement, implementation, and
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processing with knowledge of quantum theory / information science. SKILLS: Proficiency in English language including writing and oral communication. Duke University is an Equal Opportunity Employer committed
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multidisciplinary translational neuro-oncology research program focused on immunotherapy, biomarker discovery, and spatial biology. In this role, you will help advance innovative research embedded within investigator
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independence in a highly collaborative environment that values mentorship, innovation, and professional growth. Be Bold. Join a research program focused on understanding how tumors evolve during and after
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will lead the execution of the experimental plan, work on the design of the data analysis methods, and perform the appropriate computational analyses. You will perform literature searches and use them
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programs with employer contributions, tuition assistance for employees and their children, and more. Anticipated Pay Range: Duke University provides an annual base salary range for this position based
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong