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and digital media. You will work closely with the Project Investigators, contributing to all stages of the research process, including design, data collection, analysis and dissemination. The role will
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of bioelectrochemical systems, electrochemical engineering, resource recovery and sustainable battery recycling. The project aims to translate a laboratory-validated lithium recovery process into a continuous-flow
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simulation of engine systems. You will be working closely with engineers at Rolls-Royce and with academics, postdoctoral research fellows and PhD students at the other University project partners. The contract
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may include electromagnetic ISAC channel modelling, waveform and transceiver design, sensing signal processing, AI/ML-enabled radio interfaces, MIMO beamforming and channel estimation, interference
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travel. We would like to appoint an enthusiastic and highly motivated scientist with a PhD in molecular biology or a related discipline capable of trail-blazing our research. Ideally applicants should have
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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themes of the project and to build an independent research profile. This is a fixed-term, full-time position until 30/09/2029, and is planned to start in October 2026. About you You will have: a PhD in
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students involved in the project. About you We are looking for someone with: A PhD, or a PhD nearing completion at the time of appointment, or equivalent research experience, in cognitive neuroscience
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proving, funded by the Advanced Research + Invention Agency (ARIA): https://agentic-sel4.github.io/ The project, joint with Andrei Popescu at the University of Sheffield and Toby Murray at the University
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, their fabrication and characterisation in order to be translated to industry with our partners. This includes laboratory experimentation, critical evaluation and interpretation, computer-based theoretical modelling