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in modules taught in English. Application deadline 15 April for admission in October (winter semester) Submit application to The online application form and a full list of the application requirements
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, feedback optimization, distributed control, consensus protocols, nonlinear control, robust control, with application to energy systems (e.g. smart grids, district heating, hydrogen networks) and traffic
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-users interact with infrastructure and the built environment, improve diagnosis of risks and reduce the time required for maintenance, optimize the infrastructure performance, support information-driven
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contributing to final layer predictions. • Objective 3: Non-convex Optimization and Local Minima -- Study the theoretical foundations and empirical behaviors of deep neural networks in the context of non-convex
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into consideration the playing position and style of play. By accomplishing these objectives, this research intends to enhance the effectiveness of training programs and optimize player development, ultimately
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network adaptation is crucial for optimal perfusion. In living systems, network architecture constantly changes in response to environmental stimuli towards uniform flow to optimize transport. Combining
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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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designed and is managed to optimally use the available electrical and thermal energy. In essence, focus has shifted from optimizing production goals and subsequently determining where and how to get energy
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network adaptation is crucial for optimal perfusion. In self-organizing life forms, network morphology constantly adapts in response to environmental stimuli towards more homogeneous distribu-tion of flow
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disciplines). Experience in/Dedication to: planning and conducting chemical experiments, chemical analysis, process modeling/simulation, and optimization Team player skills and enthusiasm to work in a multi