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, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates
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. This includes selecting, designing, optimising and implementing experimental protocols, including standardised protocols for patient sample flows involving collection, storage and processing, and developing and
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for an additional 3 years (subject to the project progress). About You Candidates with a PhD degree in Electrical and Electronic Engineering, Biomedical Engineering, Physics or Material engineering are encouraged
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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unseen conditions without or with limited training samples, in order to tackle data sparsity issues. Applicants should have the equivalent of a PhD degree from Computer Science with research expertise in
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for interview on Tuesday, 18 August 2026, and to start on September 1 2026 or very soon thereafter. This is a fixed-term and full-time post available due to research grant funding. About You You must have a PhD
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, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area or near completion * Background in developmental and cell biology
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-motivated researcher capable of planning and delivering independent research projects within a collaborative environment. You will hold, or be close to completing, a PhD in Physics, Materials Science
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of specialist laboratory equipment, including advanced fluorescence microscopy and spectroscopy platforms such as the PicoQuant Luminosa, to generate, analyse and interpret imaging, fluorescence lifetime, single
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matter physics, cosmology, particle physics and quantum physics. It has real‑world impact, informing developments in energy storage, improved cancer imaging, quantum computing, nuclear fusion, pandemic