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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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Based in the Faculty of Engineering at the University of Nottingham, this role will focus on electromagnetic design, modelling and validation of microwave heating technologies for the BioIron
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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We invite applications for a self-starting individual to drive an exciting partnership to identify, develop and implement an evidence-based quality improvement (QI) model for application
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We are looking for a researcher, whose expertise lies in gravitational waves. They will be expected to conduct research on perturbative or nonperturbative waveform modelling, with applications
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will use duckweed as a model to frame this question. In addition to being a model species, duckweed is also emerging as a promising new protein source that does not require arable land. Duckweed’s small
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in providing stress resilience. We will use duckweed as a model to frame this question. In addition to being a model species, duckweed is also emerging as a promising new protein source that does not
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to develop an AI-powered knowledge capitalisation system (Prometheum) that combines the latest technologies in large language models and retrieval methods to enable engineering teams to access
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resilience. We will use duckweed as a model to frame this question. In addition to being a model species, duckweed is also emerging as a promising new protein source that does not require arable land