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in life cycle analysis for separation science are required. Desired: Research interest in statistical data analysis is desired. Strong software skills in Excel and Minitab or other statistical
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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Position Description The Department of Mathematics and Statistics at the University of Vermont is seeking applications for a postdoc position in applied mathematics, working with Professor Jianke
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cancer populations Research methods/design Basic statistical analyses Cognitive-behavioral therapy knowledge or experience Acceptance and commitment therapy knowledge or experience Research publications
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growth assays, inoculation experiments, and phenotyping of mycorrhization and plant growth responses. - Analyze omics datasets and contribute to bioinformatic and statistical interpretation of results 30
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for extension and/or if additional funding is secured to extend employment. Required Qualifications: Ph.D. in plant breeding, bioinformatics, quantitative/statistical/population genetics, or a related discipline
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Qualifications: Experience in one or more of the following areas is highly desirable: Wavefront shaping and spatial light modulator systems Multimode fiber optics Mesoscopic physics and statistical optics
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/ exome sequencing) to address complex biological and translational research questions. Uses state-of-the-art bioinformatical and statistical tools Develops new statistical methods to answer biological
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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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and a multilevel design with employees nested in teams nested in organisations. Advanced statistical techniques will be used to perform the analyses. You will write research papers and a policy brief