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Field
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, to automation and optimization, machine design, production, and production systems. Project Description This PhD project is part of the research project “Sustainable and Resilient Hydrogen Infrastructure
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inspection and data collection strategies optimization, and their integration within novel data-driven risk assessment methodologies and safety certification frameworks. We focus on vertical transport (lifts
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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the focus areas are stochastic optimization and equilibrium modelling in energy systems and markets. Position 1: PhD Project - “Optimisation of household demand response” The project aims to achieve
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combines methods from ecology, industrial design, and engineering to optimize and upscale and biodegradable structures that temporarily mimic key emergent traits using industrial-scale additive manufacturing
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the development of meta-optimization techniques that can automatically search for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital
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effective energy management system (EMS) is then necessary to monitor the states and optimize the use of HESS, consequently enhancing the eVTOL’s desired performance. The state-of-the-art review indicates
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Energy Integration in Power Grids Multiscale Numerical and Experimental Approaches for Materials Design and Engineering Integration of plugin balcony solar systems within the UK The full description of
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requires fundamental and applied research for their optimization, better understanding and industrialization. The project aims to develop and characterize new “reactive” hydrophilic and lipophilic DES
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Systems (MAS) theory: cooperation, negotiation, coordination, and competition. - Game theory and reinforcement learning for distributed optimization for agents' properties (e.g., perception, reasoning