Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
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
-
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
-
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
Searches related to process optimization
Enter an email to receive alerts for process-optimization positions