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supports the semi-automated checking of research outputs, including machine learning and Artificial Intelligence models. Working closely with the Research and Innovation Platforms Team, you will oversee
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validating data, spinning up virtual machines for research groups and enabling access to the relevant data as appropriate, providing support for researchers using the environment and dealing with any data
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experience, or keen to learn the research knowledge in power systems, cyber-physical systems, computer science, information and communications technologies, and computing and data platforms. The perspective
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significant advancements with the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques. This PhD research aims to explore the development and application of Process Induced Neural
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capable of predicting boiling and CHF in PWR-relevant conditions. Combining improved physical modelling with the potential of machine learning and data assimilation techniques, you will specifically target
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Artificial intelligence and machine learning methods for model discovery in the social sciences
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation