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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
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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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modeling, physiological signal analysis, and innovative neuromodulation strategies for neurological disorders such as epilepsy, chronic pain, and autonomic dysfunctions. Primary Responsibilities 35
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-induced mouse model of multiple sclerosis as well as the EAE mouse model. The laboratory uses a closed and open head model for traumatic brain injury. The laboratory uses several different animal models
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, Molecular Biology, or a closely related biomedical field • Experience with retinal immunopathology, photoreceptor biology, or RPE-related degenerative disease models • Demonstrated expertise in retinal
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modeling. 80% research - The project focuses on developing theoretical models using optimization and information theory to improve understanding of plant hydraulic regulation at the leaf, plant, and
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and their application in animal models. There will be opportunities to lead a team of students, contribute to grant writing, engage in professional development, and disseminate results at conferences
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and articulate these findings to colleagues. -Develop and maintain expertise of experimental techniques. 20% Perform experiments for projects. -Maintain the health of experimental cell models. -Examine
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of empowerment, stewardship, integrity, sustainability, inclusion, teamwork, and innovation; delivers results; models professionalism; works collaboratively; inspires commitment; embraces change; models a
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(40%) Perform statistical analyses such as descriptive statistics (tabular and graphical) and regression modeling. Interpret and communicate results in collaboration with research teams. Data