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automated security systems that can detect and respond to dangers in real-time. With this opportunity, you will explore into cutting-edge technologies such as artificial intelligence, machine learning, and
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of HCC on fatty liver, the project will investigate how radiotherapy impacts tumour growth and liver fibrosis and test antifibrotic therapies to reduce RILF and improve treatment outcomes. Objective 1
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of seaways by a broader spectrum of people than previously appreciated. Welsh connections have been studied in detail for the early medieval period but new excavated and stray-find evidence from the later
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
inclusions in nickel-based superalloys during vacuum induction melting of superalloy feedstocks, with the objective of further advancing turbine system performance. This builds on previous experimental and
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candidate will join the energetic human-centred computing group led by Professor Moi Hoon Yap. Project aims and objectives The project aims to design innovative deep multimodal learning methods to understand
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to research together with a strong intellect and disciplined working habits. Good team-working, observational and communication skills are essential. Training will be provided according to the objectives
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explainable” machine-aided decision support for Safety and Mission Critical objectives e.g. fault detection/tracing, evasive manoeuvring, target selection etc. Detailed semantic understanding of operational
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Language Model, or Artificial Intelligence be used? The impact of this research will be to enable practitioners and the stakeholders of systems models to make objective assessment of model qualities using
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. The project delves into areas such as hardware-based security measures, tamper detection, and the integration of explainable AI models within embedded platforms. Situated within the esteemed IVHM Centre and
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Bayesian inference framework for identifying complex aerospace systems combining with limited experimental data. It can be also used to quantify uncertainties from experimental testing, significantly