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that integrate population genetics, statistical analysis, and health data. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH
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next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical methods to answer biological
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Summary The Department of Radiation Oncology at BCM is in search of a Postdoc with a strong medical background, specializing in imaging segmentation, database building, and sound statistical
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science or a related field. Bachelor's degree in statistics, computer science, or related field. Experience with artificial intelligence and machine learning Two years of relevant experience. Baylor College
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and translational research geneticists (studying any model system), statistical geneticists, and computational geneticists who are focused on elucidating the underlying genetic and genomic mechanisms
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initiatives. Interprets complex data, analyzes results using statistical techniques and provides ongoing reports in support of strategic goals. Provides support in identification, integration and preparation
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needs. Excellent communication and interpersonal skills. Proficient in Excel spreadsheets, Word processing, PowerPoint, and basic statistical analyses. Bilingual (Spanish) Baylor College of Medicine is an
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resistance and cancer recurrence. Methods range from statistical, computational, to machine-learning based. These new methods are expected to benefit the community at large by being broadly applicable
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and apply advanced computational techniques related to statistical genetics, algorithm design, machine learning, artificial intelligence, and knowledge graph construction, data visualization, and/or
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potentially shaping clinical applications. Analyzes experimental data and interprets results. Utilizes various bioinformatics tools and statistical methods to analyzes large datasets generated from experiments