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Field
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evaluate numerical methods that combine low and high order formulations, and develop hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating
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Applications are invited for the post of Senior Research Associate in Algorithms and Complexity Theory to be held in the Department of Computer Science, with effect from 1st September 2026 for two years
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of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating conservative transmission algorithms that ensure consistent exchange of information
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computational cognition. The successful candidate will work at the intersection of AI research, cognitive modelling, and human–machine interaction, contributing to the design of algorithms that incorporate
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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requires a PhD in Computer Science or closely related field. Candidates should have a strong knowledge of either Core Algorithms, Data Structures, Algorithms and complexity analysis, as well as proficiency
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management of microgrids, battery scheduling, and handling uncertain renewable generation without relying on forecasted data [1]-[5]. Studies reveal that parametric tuning of RL algorithms such as state and
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to perform a broad array of bespoke tasks effectively and with minimum operator intervention. This role is an integral part of our EPSRC Programme Grant in Embodied Intelligence and will involve both