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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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Our main research themes are: Life and its Interactions with Dynamic Environments, and Global Landscapes & Climate Change. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MSc (Research): 1-2 years full-time; 2-3 years part-time; MPhil: 2-3 years full-time; 3-4 years...
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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
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functional outcomes. In parallel, you will develop new sensors for intracellular potassium concentration leveraging AI based protein design algorithms. Techniques used are Biomolecular NMR spectroscopy and