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approaches such as transcriptomics, proteomics, CyTOF and metabolomics. Developing cloud computational infrastructure, integrating multi-omics datasets and applying machine learning methods to high dimensional
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devoted mentoring customized to her/his career goals, and acquire research skills that will be invaluable in their future pursuit of academic, government, or industrial positions. Potential research
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of the second year after a trainee joins the team. Job Duties Designs and implements novel computational algorithms for data analysis, feature extraction, and predictive modeling. Applies machine learning
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to application of machine learning and data mining techniques to analyze multiple data modalities related to corneal disease, including imaging, genetic and clinical data. Qualifications PhD in Computer Science
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Postdoctoral positions in biology are available in the Zhi Tan laboratory at Baylor College of Medicine (Houston, TX), an interdisciplinary group using deep learning, computational chemistry