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in cells and using an age-dependent murine disease model to analyze neuropathogenic mechanisms. ● Perform POWV experiments and data analysis following in primary cells and cell lines in BSL2/BSL3
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Data analysis and preparation of research articles and academic presentation. Travel within upstate New York (the I-90 corridor) and opportunities for subsequent grant writing. Dr. Scott Seibert
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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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in cells and using an age-dependent murine disease model to analyze neuropathogenic mechanisms. ● Perform POWV experiments and data analysis following in primary cells and cell lines in BSL2/BSL3
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. Evaluating environmental sustainability via Life Cycle Assessment (LCA) and techno-economic analysis. Contributing to the integration of vanadium flows within a circular economy model for battery materials
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with the data collected; Preparation of results for manuscripts and publication; Assisting the PI in the organization of research project workshops; Liaise with Quantitative Analysis Center (QAC) on data
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analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential
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will contribute to projects investigating the genetic basis of starvation resistance and nutritional control of gene expression using genetic and functional genomic analysis. Research experience working
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Atmospheric Dynamics group in AOPP which looks at the role of dynamical processes globally in weather and climate variability, predictability and change. The role will involve detailed analysis and dynamical