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tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in the liberal arts, medicine, business and law
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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· Possess the knowledge of basic research integrity, values of ownership of a research project, and follow timelines to achieve deliverables Requirements: · MD, MBBS, PhD (with clinical research experience
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(PhD in computational biology, statistics, genetics or related field) with excellent quantitative and dry lab skills. The successful candidate will be expected to develop and lead computational analyses
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applications for postdoctoral positions in the area of cosmology (experimental, observational and theoretical) and new techniques in statistical and image analysis. The cosmology group is composed of Profs. Arun
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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website. TERM One year, with the possibility of another year extension depending on successful progress. QUALIFICATIONS Applicants should hold a PhD in Earth Science, Environmental Science, or a related