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, Web of Science, and Elements databases. Alongside these projects the student will be tasked with aiding libraries in API based research, data visualization, and data analysis. The student will
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analysis. Experience with Python and/or R; familiarity with deep learning frameworks is a plus. Demonstrated record of research productivity (publications, conference presentations). Excellent communication
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, dry/wet etching, metal deposition). Background in low-temperature transport measurements or optical characterization of materials and devices. Appointment Details: Start Date: Flexible. Initial
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techniques (e.g., electron-beam lithography, dry/wet etching, metal deposition). • Background in low-temperature transport measurements or optical characterization of materials and devices. Appointment Details
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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medication use Applying frameworks such as the Andersen Behavioral Model (ABM) and 4Ms of Geriatrics Conducting advanced data analysis and predictive modeling Engaging patients, caregivers, and health system
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. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
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. The project involves both hardwood and coniferous species such as white oak, black walnut and shortleaf pine. The postdoc’s work, which will include field work, laboratory and data analysis components, will
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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program connecting complex carbohydrate structural analysis with application. The successful candidate will become an integral member of the Whistler Center and the Department of Food Science, contributing