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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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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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in an operating theatre. Benefits of joining this project: This project will give an opportunity for the student to explore the area of healthcare process modelling with a holistic perspective
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," PhotoniX 1 (2020). [3] M. Kenney, J. Grant, et al., "Large area metasurface lenses in the NIR region," in Modeling Aspects in Optical Metrology VII, SPIE (June 2019). View All Vacancies
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," PhotoniX 1 (2020). [3] M. Kenney, J. Grant, et al., "Large area metasurface lenses in the NIR region," in Modeling Aspects in Optical Metrology VII, SPIE (June 2019).
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functional motifs are encoded in HS chains and how they influence their biological activity. Using gastruloids as a model system with which to study GAG structure/function relationships. Generating gastruloids
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Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting
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models used in component scale CFD assessments. In particular, this concerns quantifying the effects of the heat transfer surface’s detailed topography, porosity and wettability on near-wall bubble
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: Investigating how functional motifs are encoded in HS chains and how they influence their biological activity. Using gastruloids as a model system with which to study GAG structure/function relationships