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, influencing both local practice and national policy. Project aims and objectives The projects aim is to implement and evaluate AI-informed, scalable, integrated rehab for working-age adults with multiple long
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-term monitoring of ground-nesting seabird populations at the Snæfellsnes Research Centre (Breiðafjörður, Iceland), this project will: Objective 1: Quantify the “nest footprint” by establishing
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-making process. Research Objectives Model Learning in Dynamic Contexts Investigate the use of reinforcement learning for constructing and updating probabilistic world models (transition and observation
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described. In this project, we will investigate the roles of NLR genes in the fungal immune system. Our overall objective is to understand how NLR genes contribute to self/non-self recognition and to
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-making process. Research Objectives Model Learning in Dynamic Contexts Investigate the use of reinforcement learning for constructing and updating probabilistic world models (transition and observation
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to further optimisation, etc. The project objectives are to: Develop a detailed understanding of current hydraulic modelling practice. Create a new framework to quantitatively assess and rank different
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the carefully-controlled flame conditions. The specific objectives and work packages of the PhD project will therefore be as follows: Apply laser-induced fluorescence (LIF) of the hydroxyl radical for temperature
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and sustainable 3D scanning-to-XR workflows for representing and simulating climate-related environmental change. The objectives of this project can be outlined as below: To explore, identify and test
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memory. These objects and narratives will reveal how proximity to the sea shapes aesthetic practices, local economies, and collective imagination. A core aim is to work collaboratively with local and
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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity