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and bioluminescent imaging, immune cellular and molecular engineering, bioinformatics (single cell and other novel omics technologies), complex tissue culture and genome editing, and clinical trial
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documentation of experiments, including raw experimental data and laboratory notebooks. The position requires a PhD in computational biology, bioinformatics, structural biology, biophysics, biochemistry, or a
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of experiments, including raw experimental data and laboratory notebooks. The position requires a PhD in computational biology, bioinformatics, structural biology, biophysics, biochemistry, or a related discipline
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modelling and mixed effect models is preferred. Knowledge in survival analysis, machine learning, and bioinformatics in omics data is desired. Consideration of applications will begin immediately, and will
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-run laboratory innovatively integrates gnotobiotic mouse models, microbiology, immunology, and bioinformatics to tackle medically relevant questions. We recently developed a novel approach of microbe
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, image analysis, and FISH (Fluoroescent in situ hybridization) are preferred. Additional skills in bioinformatic analysis are highly valued. A proven ability to learn and pioneer new techniques and assay
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, image analysis, and FISH (Fluoroescent in situ hybridization) are preferred. Additional skills in bioinformatic analysis are highly valued. A proven ability to learn and pioneer new techniques and assay
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bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Jan 2024 or later. The ideal candidate will develop novel statistical and machine learning methods
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peer-reviewed journals. · Background:Experience or motivation to conduct FACS, single cell analysis, and bioinformatics desirable. · Skills:Experience or motivation to conduct immunofluorescence
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, longitudinal data sources describing complex parasite genetics in both human and mosquito infections as well as human immune responses. Candidates from statistics, bioinformatics, epidemiology, molecular biology