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Field
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Overview This PhD project will take a comprehensive approach to exploring how corporate sustainability disclosure practices evolve in response to the integration of Machine Learning (ML) within
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-throughput data analyses, machine learning and software engineering. We work in a highly dynamic and collaborative environment focussing on the identification of molecular markers of breast cancer by
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Sapey, provides robust support for projects involving big data and Artificial Intelligence (AI), including Natural Language Processing, Computer Vision, Machine Learning, and Deep Learning. The team’s
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ability to deal pleasantly and effectively with a wide range of people in a teaching and learning context Computer literate, including Word, Excel, Outlook, shared online documents, video conferencing
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation School of Electrical and Electronic Engineering PhD Research Project Self Funded
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biology, supported by a dedicated new Data Centre with the very latest, future-proofed computational infrastructure and support in artificial intelligence and machine learning. The HP3 investment builds
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working at the intersection of AI, NLP, machine learning, and robotics, frequently tackling real-world challenges such as assistive technology, healthcare, and safe conversational interaction. You will join
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system. The project and role sit within the Finance and Economics Programme which brings together leading experts in data science, machine learning, finance and the social sciences, from both academia and
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We are looking for an organised, proactive individual to help in this varied role. The Learning and Development Coordinator will work within the CAM Doctoral Training Partnership [DTP] to provide
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analytics techniques (machine learning) for process control and optimisation. In this project, you will focus on achieving metamaterial behaviour through phase control within the additive manufacturing build