30 phd-position-in-information-retrieval Postdoctoral positions at University of London
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) and reports and will work as part of a team. About You The candidate will have a PhD or be close to holding a PhD in the musculoskeletal field and expertise in the area of osteoarthritis or cartilage
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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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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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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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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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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for the work related to ruminants. The post holders will work directly with Dr Mahmoud Eltholth and consortium collaborators in the UK, Spain, and Nigeria. The position is full time with 35 hours per week. In
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, ability to independently plan experiment. About the School/Department/Institute/Project Barts Cancer Institute (BCI) is a Cancer Research UK Centre of Excellence whose work aims to transform the lives
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that can translate (genomic) data into clinically actionable insights. We are an ambitious, curious and enthusiastic international team, that promotes scientific excellence in the context of happy family and
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specific behaviors, analyzing and interpreting imaging data to support neuroscience research objectives, collaborating with interdisciplinary teams to develop and optimize imaging protocols, and performing