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About the Role We are looking for a motivated Postdoctoral Research Associate in Multiscale Modelling of Composite Materials to join the Composite Design and Analysis (CDA) Group, led by Dr. Haibao
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machine learning under real life constraints of clinical integration/validation and healthcare regulatory translation/commercialisation. The position is part of the project `Integrated autofluorescence
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aims to address challenges of personalised dementia care planning involving people without informal carers, with a focus on integrating primary and social care support. The post is part of a large multi
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approach. About You The ideal candidate will have a PhD (or close to completion) in areas related to AI and/or animal cognition, behavioural neuroscience. You should have general experience with research in
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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Technology Laboratory (DSTL), Electromagnetic Environment (EME) Hub. About You Applicants should have a PhD in modelling hypothetical scenarios, with and without data, for structured decision-making under
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scientific career. Demonstrable knowledge and a PhD (or close to completion) in the field of stem cell biology is essential. Previous experience in cardiovascular biology, molecular biology and
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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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join the School of Advanced Study as we are at the start of a new strategic plan. The Digital Humanities Research Hub (DHRH) at SAS supports a variety of digital approaches to the Humanities across
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You The successful candidate will have a PhD (or soon to be awarded), or equivalent experience which has involved significant practical cell culture, and ideally experience with molecular biology