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on the application of computer-aided design (CAD), mathematical modelling, finite element analysis (FEA), and structural optimisation. You should also demonstrate a student-centred teaching focus with experience and
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for machine learning, and experience with VR application development. Essential skills and experience: A PhD in computer science, software engineering or a similar technical field, or equivalent professional
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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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for 10-year full-time tenure track positions at all ranks in Computer Science to begin in Fall 2025. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML
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making sure these are executed in a timely fashion and to deadlines. • Be willing to learn and develop new computational and wet-lab techniques and approaches required for the project as it evolves
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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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-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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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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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
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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