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Primary supervisor - Dr Rebecca Taylor This project is recruiting to a 1st February 2026 start date. Ageing is associated with increased rates of disease, including neurodegenerative conditions
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including number theory, dynamical systems, probability theory, equidistribution theory and optimal transport. The aim of the PhD project is to develop a flexible framework based on harmonic analysis to study
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and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits
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temporal patterns across different neurons in the neocortical circuit and use them for closed-loop brain stimulation. By examining how these spatiotemporal dynamics relate to behaviour, you will develop new
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. The aim of this project is to develop multimodal generative AI for embodied collaborative agents. This project aims to create AI agents capable of seamlessly collaborating with humans and other agents in
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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Title: Next-Generation Membrane Testing for Fuel Cells and Electrolysers Using Terahertz Spectroscopy Abstract: This is a unique opportunity to join a cutting-edge PhD project in collaboration with
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vocabulary development. The PhD position is part of the EU Synergy Project SHAPE (https://www.ntnu.edu/shape/home ) which is examining the interaction of language and thought and specifically the visual
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application date: 17/11/2025 Full-time/ part-time availability (duration i.e 3 years): Full-time only (3-years) Project outline The University of Hertfordshire is ranked as the top post-92 university in
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Primary Supervisor - Dr Neda Trifonova Background The UK marine environment is a complex, high-demand space. It provides vital services, including food provision through fisheries and aquaculture