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reliability and operational efficiency. Determining the optimal size and location of PSTs within a network is inherently complex due to the nonlinear and dynamic nature of power systems, necessitating the use
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, working on topological exciton polariton experiments. Key Responsibilities: Fabrication of topological exciton polariton lattices based on novel seminconductors Use electron beam lithographic techniques
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prediction of queue dissolution by combining traffic flow theory with data from roadway and AMOD sensors, nonlinear optimization of the signal plan, cooperative control of traffic signals and AMOD vehicle
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intern in multiagent trajectory optimization. The successful candidate will help develop and implement mixed-integer and nonlinear programming methods for coordinating multiagent UAV systems. This role
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direct access to state-of-the-art labs, cutting-edge infrastructure, and specialized development and product teams tailored to your project’s unique needs—facilitating rapid iteration and optimized drug
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positioned team of experts in the field of photonic components, laser sources, and nonlinear converters. You will contribute to the improvement of fiber components and new designs. You will independently work
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on electric machine drives and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control
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(e.g. first-order optimality, gradient descent algorithms, and basic linear or nonlinear programming) is required. Object-oriented programming experience is required. Experience in parallelizing code is
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
to inform policy decisions that balance economic performance with environmental conservation. Project overview The primary objective is to develop realistic multi-species fish models that determine optimal
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. The project will optimize fishing practices to reduce ecological impacts, providing actionable insights to inform policy decisions that balance economic performance with environmental conservation. Project