110 computer "https:" "https:" "https:" "https:" "Dr" "University of St" Postdoctoral positions at Cornell University
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formative and summative assessments of systems-thinking skills at the course and program levels; support scaffolding systems-thinking pedagogy across the E&S curriculum. The position is supported by Cornell’s
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, United States of America [map ] Subject Areas: Data Science Bioinformatics / Clinical , Computer Science , Mathematics , statistics Nutrition Medicine Public Health (more...) Epidemiology Salary Range: $62,232 to $88,745
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or neuroscience are encouraged to apply. Details of Dr. Hu’s laboratory, ongoing research projects, and recent publications can be found at https://hu.wicmb.cornell.edu/ . Successful candidates should have a recent
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computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using relevant AI/ML/related
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about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
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assess candidate functions using CRISPR and transgenic approaches. Anticipated Division of Time Research (55%): The Postdoctoral Associate will play a leading role in conducting experimental, computational
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing
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(faculty pay ranges reflects 9-month annual salary) Unique applicable skills. Application Materials Required: Further Info: https://www.duffield.cornell.edu/eas/ 2161 Snee Hall 112 Hollister Dr. Ithaca, NY
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches