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trial design and conduct, and scientific writing. Qualification: PhD in nutrition, epidemiology, biostatistics or related field. Strong quantitative and analytical skills, including experience with
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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the fundamental mechanisms shaping plant communities and their response to climate change. Qualifications: • PhD in Ecology or a related field • Strong quantitative background (e.g. ecological theory
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Duke University, Statistical Science Position ID: Duke-StatSci-DDPDS [#30056] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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and revision Educational Requirements: Work requires a PhD (bio)statistics, econometrics, data science, or related field. Experience/Skills Required: A background in commonly used programming
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in
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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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Institute for Marine Science, NC State University’s Center for Marine Sciences and Technology, NOAA, and others. Qualifications A successful applicant will have earned a PhD in Ecology, Marine sciences, or a
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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 Kannawadi, Dan