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Field
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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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project aims to develop next-generation AI technologies for concept-driven video understanding from consumer-recorded facial care videos. Unlike conventional action recognition, the research focuses
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framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
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. • Develop novel algorithms and methodologies for defect detection, classification, and failure analysis. • Supervise and mentor junior researchers and graduate students in related research activities. 2
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industrial partners, funded to promote the development of novel AI methods and to transform the uptake of AI in the chemistry community. Working in the Cooper Group on the EPSRC Centre-to-Centre grant
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), physics, math, engineering or a related quantitative discipline is required. Experience with cancer genomics, computational analysis, algorithm development, statistics and machine learning. Experience with
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settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide and mentor graduate students and other junior team members working on the project
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successful candidate will contribute to the EU projects (with funding support from Innovate UK and UKRI), which aim to develop wireless communication optimisation algorithms for digital healthcare applications
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the resilience, safety, and security of critical infrastructures as core requirements. Moreover, it will boost the development and validation of novel AI algorithms, by the European AI community, through open