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novel contributions to the field of computer vision and deep learning in smart manufacturing. These novel algorithms will then be integrated on to a mobile robotic system that will inform the design and
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, Configuration, Networks and Controlling Algorithms) & Estate Energy Management • The appointed person will be the senior authorised and responsible person for such items and their associated processes and
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decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real-time information exchange across
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hardware-in-the-loop (HiL) techniques and ML algorithms for the accurate and on-time detection of faults, so that failures can be prevented by alerting the end-users and diagnosticians during periodical
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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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are available, based on 0.5 of the full time rate. Due consideration should be given to financing your studies . Recommended reading 1 Bejnordi, B. E. et al. Diagnostic assessment of deep learning algorithms
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algorithmics project group. Ultimately, we aim to expand these techniques into time resolved studies to explore the dynamics of biological systems. We are equipped with a double aberration corrected 300kV Cryo
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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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/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
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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