28 parallel-computing-numerical-methods Postdoctoral positions at Baylor College of Medicine
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Job Description Apply now Job Title: Postdoctoral Associate - Computational Regenerative Medicine Division: Integrative Physiology Work Arrangement: Onsite only Location: Houston, TX Salary Range
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a diverse team of biological and chemical scientists Experience with high performance computing environment (HPC) / cluster job submission Knowledge of statistical methods, data science algorithms
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of Integrative Physiology focuses on inherited and acquired arrhythmias and cardiomyopathies. The lab utilizes numerous techniques from cloning and in vitro cell work, to the generation of mutant mice and surgical
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and research protocols to assure personal, lab safety, and research volunteer safety. Trainees participate in the established CNRC Postdoctoral Training Program which involves forming a mentoring
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. The goal of the Training Program at the CNRC is to prepare Ph.D. and M.D. postdocs for biomedical research careers in nutrition that focus on pregnancy, lactation, infancy, childhood, and adolescence
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qualitative/mixed-methods analysis. Collaborates with CHHAIN co-leads and faculty across Baylor and Rice on interdisciplinary scholarship. Coordinates project management tasks including timelines, deliverables
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PacBio HiFi, Oxford Nanopore, and graph-based genome technologies. Job Duties Develops, implements, and optimizes algorithms and computational methods for structural variant (SV), tandem repeat (TR), and
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, optimizes, and applies computational or laboratory pipelines for genomic data processing and quality control. Interprets genomic variants and contribute to functional and translational genomics studies
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microscopy, and technical writing. Hands-on experience with imaging flow cytometry, brain tissue homogenization, homogenate analysis protocols, and cell separation and lysing methods are a plus. Job Duties
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Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods