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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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such as spatial biology, single-cell RNAseq Multiplex, etc and animal (mice) models such as humanized mice, PDX models and other models simulating human patients. Responsibilities Designs and conducts
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, single-cell RNAseq Multiplex, etc and animal (mice) models such as humanized mice, PDX models and other models simulating patients. Responsibilities Designs and conducts research on cancer immunology
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multivariate statistical analyses, including generalized linear mixed models, generalized additive mixed models, and variants of these methods PhD in Molecular Biology, Biochemistry, Molecular Epidemiology
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experiments in protein engineering, molecular biology, biochemistry, and next-generation sequencing (NGS). The ideal candidate will have experience with computational tools for protein modeling and design—such
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laboratory conditions. Must be able to work at a computer for extended periods for data analysis, molecular modeling, and manuscript preparation. May require occasional work with biological samples, including
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experiments using murine cancer models and a strong background in immunology, experience in molecular and cell biology techniques including primary cell culture, RNA assays, and protein assays, confocal assay
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experience with animal experiments using murine cancer models and a strong background in immunology, experience in molecular and cell biology techniques — including primary cell culture, RNA assays, and
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mutation detection; participates in analyzing data for reports for the purpose of grants submissions; designs and conducts pre-clinical studies using a variety of disease models in mice; trains staff
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molecular biology, bacterial pathogenesis, molecular microbiology of bacterial pathogens and working with animal models is preferred. Experience in supervision of students and visiting scholars is desirable