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engineering and algorithm implementation for computational biology tools and analyses. This position will oversee the development and dissemination of novel and publicly available bioinformatic tools and suites
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of statistical sciences and data science both in theory and application. New directions in statistics are often interdisciplinary and encompass bioinformatics and genomics, computational finance, data science
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train faculty, students, and staff in the use of image processing and data analysis tools. Required: PhD in statistics, bioinformatics, biology, or related discipline. Equivalent combinations of education
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simulations - High-performance computing, combinatorial scientific computing, novel computational architectures - Bioinformatics, health informatics, and biomedical applications of AI Systems (Software
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, and neuroscience and plant biology. Core facilities for high-throughput screening, phenotyping, genomics, bioinformatics, microscopy, NMR, X-ray crystallography, cryo-EM, flow cytometry, metabolomics