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Field
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, robotics, natural language processing, programming languages, AI, data science and machine learning. The School has an extensive portfolio of taught programmes, including the new MSc Computer Science
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first degree in an Engineering or Engineering-related subject and a PhD with appropriate content. Proven experience of experimentation and FEA modelling. Experience in some of the following areas will be
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projects, and grants and acting as a source of information and advice on best-practice methodologies in machine learning/deep learning. It is essential that you hold a PhD/DPhil (or close to completion) in a
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and visualisation. Identify and establish best practices in the patient pathway and referral network through utilisation of descriptive analytics. Use predictive analytics and machine learning to drive
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Machine learning for networks and systems Systems for machine learning Edge computing and applications Networked systems design and experimental evaluation Network measurement Network security Ability
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, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded methodology project
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. The post holder will join the Physical Mathematics Laboratory, a team of researchers led by Dr. Stuart Thomson with interests in physical applied mathematics, machine learning, and robotics. What will you be
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, the adoption of AI in project management remains in the nascent stages. This PhD project will critically investigate how AI is shaping the management of projects and project studies. It aims to generate new
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behaviours? The proposed approach will focus on developing a multi-agent AI framework that integrates traditional penetration testing methodologies with machine learning techniques and advanced generative AI
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includes over 500m2 of studio space at UWE’s Frenchay Campus. We invite studentship applications from enthusiastic individuals who are strongly motivated to help push the boundaries of machine learning and