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desired (but not required): Automation Robotics and automation Machine learning to accelerate the discovery of molecules and materials Experimental planning and design/optimization Programming and high
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materials Experimental planning and design/optimization Programming and high-performance computing Additional expertise that is desired (but not required): Automation Developing polymer blends or composites
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planning and design/optimization Programming and high-performance computing Additional expertise that is desired (but not required): Automation Developing polymer blends or composites for 3D printing
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academic and professional community. This research program will build upon the Department’s existing strengths in visual and human-centered computing, artificial intelligence, machine learning, optimization
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the business requirements gathered reflect the university and user needs and optimize experience. Develops a release/enhancement roadmap and backlog for Workday functionality. Collaborates with other product
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experimental design and assay optimization. Familiarity with word processing, statistical and graphing software, plus experience in manuscript preparation and literature searches and review. Experience
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environment Show personal interest in the learner and create a climate conducive to optimal learning Provide on-going support, guidance and advice to students Review course content and links in the D2L shell
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; Publish journal papers; Work on other duties as assigned. Qualifications Candidates are expected to have a PhD in power systems with expertise in power systems analysis and optimization, artificial
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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
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partners. In these research projects we studied new diagnostic tests, therapies, service models, and technologies to optimize the physical and mental health of Canadian children born with brain-based