17 evolution-"https:"-"https:"-"https:"-"Multiple" Postdoctoral positions at Baylor College of Medicine
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Job Description Apply now Job Title: Postdoctoral Associate- Intervention Development and Testing Division: Pediatrics Work Arrangement: Onsite only Location: Houston, TX Salary Range: Per NIH
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infrastructure for research and career development. We are seeking highly skilled and motivated scientists with expertise in cell and molecular biology, biochemistry, immunology experience with macrophage and NK
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quantify elementary calcium events. Interprets data to identify functional properties of viral ion channels and their impact on host cell physiology. Research & Development: Investigates the role
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in the interactions of nutrition, metabolism, and the development and treatment of metabolic diseases such as obesity and cancer. The goal is to identify nutritional interventions and metabolic
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. The development will include cancer-type specific approaches, as well as AI approaches that train on scRNA-seq. They will also be charged with implementing follow up validation experiments. Job Duties Designs and
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. Jin Wang's group to work on chemoproteomics and proteomics. The candidate will develop biochemical and cellular assays to evaluate experimental therapeutics. Job Duties Conducts assay development
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findings with multi-omics and disease outcome data from patient and animal studies. Models development and experimental tools. Generates, maintains, and utilizes transgenic and disease models to support
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theunderlying mechanisms in disease development and control. For instance, we have recently (Nature,2019) employed metabolomics approaches to show that dietary methionine restriction is an effectiveand feasible
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Qualifications Experience in cheminformatics software development Experience in developing machine learning, deep learning tools, especially with application in drug discovery. Excellent communication skills with
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mammalian brain development, and how abnormalities in normal brain development lead to the development of brain cancers. Analyzes and interprets data (whole-genome, whole-exome, ChIP-seq and RNAseq) in light