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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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to accelerate evaluation of costly simulations Genetic algorithms and other evolutionary techniques to generate a diverse set of high-performing solutions. You will design and implement new optimization
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cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy
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a very active AI community including industry-led AI research groups (Google, Meta, DeepMind, Microsoft, Samsung, ServiceNow, Borealis) as well as a thriving start-up community. The CERC nominee will
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systems. Montreal is home to a very active AI community including industry-led AI research groups (Google, Meta, DeepMind, Microsoft, Samsung, ServiceNow, Borealis) as well as a thriving start-up community
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, and YouTube. Familiarity with social media management tools (e.g., Sprout Social, Hootsuite, Later) and analytics platforms (e.g., Meta Insights, Google Analytics). Strong skills in short-form video