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processing, data analysis, data-driven modelling, optimisation and computation algorithms, machine learning models and neural network structures, as well as strong skills and experiences in computational
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employability. Our internationally recognised research covers Algorithms and Complexity, Artificial Intelligence and Human Systems, Networks, Scientific Computing and Vision, Imaging and Visualisation. There is a
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Deadline: 31 October 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined
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their physical optics. At the University of Sheffield, we are rewriting the rules. Our “digital lens” approach fuses novel optical designs with powerful AI and sophisticated algorithms to build microscopes
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dominant paradigm for data analytics is to run a machine learning algorithm on a fixed dataset to generate a single model. The model is then applied in a specific task for forecasting purpose. Such learning
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candidate will develop machine learning and algorithmic design skills. The candidate will gain valuable multidisciplinary skills in the area of machine learning and data analytics methods and their
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optimisation model, and apply exact optimisation techniques, and metaheuristics for the optimisation of large-scale problems such as Genetic Algorithm, and/or fuzzy optimisation techniques for treating problems
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years full-time; 2-3 years part-time; MPhil: 2-3 years full-time; 3-4 years part-time; Apply now Overview Overview Research sections Formal Analysis, Theory and Algorithms (FATA) Glasgow Interactive
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, path finding and routing algorithms, sense of direction, human computer interaction, cognitive navigation, intelligent mobility, and artificial intelligence. Sensor fusion and Signals of Opportunity We
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practices produced with the help of computer algorithms challenge, subvert and threaten the modernist concept of the author. AI generated creative practices have the capacity to seriously disrupt established