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near to completion of, a PhD/DPhil in materials science, chemistry, physics, nanotechnology, or related field. • Extensive experience in either of the following: • Organic or inorganic
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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South, the successful candidate will draw on existing datasets and behavioural science frameworks to create a large language model (LLM)-powered tool that supports key behaviour change techniques central
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biological science, together with relevant laboratory and computational experience (flow cytometry, cell culture, molecular sub-cloning and analysis of next generation sequence data). Experience in coding and
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. For candidates interested in research beyond the current post, there may be opportunities available to develop a programme towards a higher degree (PhD) in an associated topic. You will be working in a growing
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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, calcium imaging, optogenetics and/or behavioural methods. The project is part of a broader research programme designed to use cross-species research to uncover mechanisms for memory in both health and
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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computational cognitive neuroscience/psychology, computer science, or relevant quantitative field, and a demonstrably strong track record of scientific publication and novel idea generation. You will have strong