36 algorithm-development-"St"-"St" 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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implements machine and deep learning programs. Develops algorithms to deconvolve RNA-seq data and compare them to AI-based methods. Performs follow up validation efforts on cell lines. Minimum Qualifications
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learning algorithms and creating predictive models. This role will contribute to evidence-based processes and procedures for program quality review and assessment of outcomes data as well as develop
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to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand
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using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Successful
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field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming
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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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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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. Evaluates and analyzes data independently. Develops service line focused on peer support services participating in aspects necessary to accomplish this goal. Develops projects focused on peer support services
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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