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C. Yin, P. Xiao, V. Sharma, Z. Chu, Garcia-Palacios, Machine Learning Based Physical Layer Security for Detecting Active Eavesdropping Attacks, IEEE Commun. Lett., 1-5, 2025. Bowman, T., Georgalas
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, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking for an associate able collectively
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effectiveness and safety. This PhD project aims to address this challenge through biomimetic engineering design, combining predictive in silico modelling with machine-learning techniques and microfluidic
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your field. You will have a strong track record of research in actuarial data science - which may also include machine learning, financial risk and climate change risk - as demonstrated through
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Maintain the student digital learning environment. You will support the Bachelor of Dental Surgery (BDS) and Dental Therapy and Hygiene (DTH) programmes with administration of clinical supervision and
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, including machine learning, for process optimisation; Support training and knowledge sharing on Coretech automated chemistry systems; Contribute to scientific documentation, including reports, papers, and
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BSM processes. This will involve taking a lead role in developing dedicated software frameworks, including the implementation of machine learning techniques. A long-term attachment (6-12 months) and
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looking to appoint a Reader in Computer Vision Education. This is an exciting time to join us as we continue to grow our department and realise our vision of a diverse, inclusive and innovative department
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device health status through condition monitoring. AI techniques such as machine learning will be used to optimise gate driver performance and to map gate drive signal attributes to power device health
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group) EPSRC Centre for Doctoral Training in Sustainable Sound Futures PhD