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Field
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Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a new NIH-funded Center for Excellence in Multiscale Immune
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partnerships with local Duke EM partners. •Strong quantitative skills in the areas of biostatistics, bioinformatics, and/or epidemiology. •Strong programming skills (R or Python preferred). •Knowledge
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, electrochemistry. Enzyme assays including enzyme kinetics (steady state and pre-steady state). Experience with bioinformatics, scripting phylogenetics. Does this position have supervisory responsibilities
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having experience in both computational and bench approaches, including bioinformatics and RNA-seq. The individual will work independently, but will also contribute to intellectual interactions within
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statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics
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Position Summary: The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine engages in methodological and collaborative research, providing international and
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computational and bench approaches, including bioinformatics and RNA-seq. The individual will work independently, but will also contribute to intellectual interactions within the lab, and potentially with
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immune system dynamics and therapeutic interventions. Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and validate novel biomarkers and molecular targets
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, fermentation, and CRISPR. Strong background in fermentation, food engineering, and food processing. Experience in molecular biology, Gene editing, bioinformatics, cell culture. Experience with Cell counter
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For Someone Who • Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field. • Is fluent in Python/R and Unix-based workflows. • Has experience with microbial genomics