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function following construction. The project focuses on identifying variables and causal relationships that determine the long-term performance of designed and constructed ponds so that they can be managed
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are ones with objectives of modeling flow and transport processes in the vadose zone using various data analysis and advanced modeling approaches (statistical and machine learning methods). The candidate
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structure and function, including experience with gene expression analysis • Hands-on experience with mouse models of inflammation, neurodegeneration, or retinal degeneration • Strong written and verbal
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, and interpersonal communication skills, especially with respect to academic writing Ability to advance science independently, and as part of collaborative teams Interest in fostering an inclusive
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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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mechanisms of metabolic diseases and cancer; developing novel strategies in biocatalysis and biotechnology; and advancing knowledge through structural biology and molecular biophysics. We organize ourselves
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neuroinflammation and CNS pathology in mouse models of neurodegeneration, demyelination, and brain tumors. Make use of multidisciplinary approaches combining advanced flow cytometry, molecular biology, behavioral
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(Including histone modification and DNA methylation) and 3D genome organization studies on the interplay between EBV infection and host interactions. Using in vitro B cell transformation model and 3D organoid
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with experience in structural biology, particularly interpretation of intermediate resolution. • EM and X-ray maps and model building are strongly encouraged to apply. About the Department The Hormel
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-activated immunogenicity, scaled-up vector production, and assessment of AAV efficacy in pre-clinical animal models. The goal of our research is to ensure advancement of gene therapy treatment for patients