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includes large-scale precipitation and temperature manipulation in combination with reciprocal transplants of genotypes of common tansy (Tanacetum vulgare) and paper birch (Betula papyrifera) across four
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% – Conduct computational modeling and/or analyze data from clinical and preclinical studies related to neurological conditions (e.g., epilepsy, chronic pain, autonomic dysfunctions) 30% – Develop grant
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with mouse models of neurodegenerative diseases, demyelinating conditions, and brain tumors • Expertise in flow cytometry, including high-dimensional (spectral) flow cytometry for immune phenotyping
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neuroplasticity using rodent models. Concurrent research lines exploring the intersection of sex hormone signaling and respiratory neuroplasticity in aging, spinal cord injury, and stress models offer multiple
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modern deep learning models such as generative models, diffusion models, vision transformers etc. About the Department: About the Department The Institute for Health Informatics (IHI) educates students and
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flux measurements using biogeochemical modeling. They will be responsible for managing projects related to field instrumentation and ecosystem flux modeling. 20% designing and implementing trace gas flux
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description: Position will require the development and application of numerical codes modeling the nonlinear
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quality models to better understand the effect of soil health management practices on soil-water storage in agricultural fields. A postdoctoral position is available to examine the effect of soil health
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow