60 computer-science-programming-languages-"O"-"O" Postdoctoral positions at Baylor College of Medicine
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systems Computational biology skills What We Offer Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. PD; SN Requisition ID: 22956 Apply now
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for enrollment into a NCI T32 training program to foster her/his scientific career development. Dr. Lin is a physician-scientist and Program Director of BCM Oncology T32 Training Program. Dr. Lin’s lab studies
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Postdoctoral Associate position as part of T32 program. This opportunity involves joining a multi-disciplinary research team focused on the microbiome and its role in gynecological pathologies. The research will
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of cancer. This is a 3-year flexible program with personalized educational curricula and individually tailored multidisciplinary teams of mentors with ongoing research in a variety of pediatric and adult
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researchers from other departments and institutions on joint initiatives. 6-Continuous Learning & Training: Stays updated with the latest advancements in AI, computer science, and radiation oncology. Provides
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analytics, gene-phenotype discovery, and clinical innovation. The HGSC is funded from multiple National Institutes of Health sources, including the All of Us Research Program as a Genome Center, the Gregor
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learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq data
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Job Description Apply now Job Title: Postdoctoral Associate Division: Molecular and Cell Biology Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $62,232 FLSA Status
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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, statistics, and/or computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast and lung