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fluidic model, optimizing wicking structures to prevent dry-out, fabricating the vapor chamber using advanced bonding techniques, and characterizing its thermal performance. The successful candidate will be
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the application of machine learning for soil science research. Duties include data preprocessing, model pool construction, hyperparameter optimization, and model training and selection. Qualifications: Experience
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into their doctoral education process. Up to $10,000 twice, for a total of up to $20,000 per student is available to support innovative/collaborative scholarship which the student would otherwise be unable to pursue
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Change, Glaciology, Modeling, Imaging, Algorithms and Combinatorial Optimizations. Eligibility to hold scholarship funding: Recipients must be offered and accept admission to a UBC PhD program in