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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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), or related fields with strong emphasis on quantitative methods or applied statistics Must have extensive experience conducting statistical analyses with large databases using SAS or Stata. Candidates in All
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, whose primary activity will be academic research in association with a faculty member or team. The appointee will contribute to research projects focused on conducting statistical analysis of Omics data
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, public health, social and behavioral sciences (e.g., sociology, psychology), or related fields with strong emphasis on quantitative methods or applied statistics) Strong applied qualitative data analytic
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science or a related field near completion* Previous experience in analysing neuroimaging (structural magnetic resonance imaging or low field neuroimaging) data across age-groups Advanced (statistical) data
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Safety Report In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other