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We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence for job scheduling and
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and develop machine learning and mathematical optimization solutions for electric vehicle (EV) fleet charging scheduling problems with considerations of various smart power grids, battery degradation
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profits. Concurrently, users will optimize their cooling consumption schedules according to these real-time prices to minimize energy costs. A discomfort cost function due to cooling demand response will be
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project KPIs and objectives per grant management. Ensure milestone delivery per plan/schedule, manage/control project risks & mitigating actions Prepare/consolidate monthly and annual periodic reports
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literature reviews Plan the necessary logistics, for the administration of experiments and focus group sessions, such as scheduling, booking facilities, and preparing IRB documentation Participate in the data
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. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
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Key Responsibilities: • Project planning, scheduling and management. • Literature review of technologies and commercial market scanning. • Modelling, simulation and data management. • Design and
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Key Responsibilities: • Project planning, scheduling and management. • Literature review of technologies and commercial market scanning. • Modelling, simulation and data management. • Design and