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an interdisciplinary and collaborative environment as a part of a diverse team Preferred Qualifications Knowledge of spatial analysis and Bayesian statistics Experience in R and/or Python programming Experience using
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an interdisciplinary and collaborative environment as a part of a diverse team Preferred Qualifications Knowledge of spatial analysis and Bayesian statistics Experience in R and/or Python programming Experience using
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physically interactive robotics and e-textiles can enable high-fidelity interactions with virtual characters and environments. The project proposes developing a new approach to creating immersive interpersonal
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contribute to a positive environment in an inclusive and diverse team. This position will be based at the Department of Forest Resources Management, Faculty of Forestry, the University of British Columbia
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component with albedo measurements on the reservoir and surrounding terrestrial environments, a modeling component where the student will become familiar with the Canadian Small Lake Model, and a remote