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of an adapted language enrichment programme. Due to funding restrictions, the successful candidate must be able to start the role before 30th Sept. This role is eligible for hybrid working with a
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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Research Fellow to lead and co-ordinate PPIE activities to support the NIHR-funded programme of work on tackling loneliness and social isolation among young adults in coastal communities ensuring young LGBT
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their own research programme as well as support in the delivery of AI upskilling and expertise transfer to government. What you would be doing The objectives for the role are: to deliver ground-breaking
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computational frameworks to study the interplay between biochemical patterning, growth, and morphogenesis during development and evolution. The project will include collaborations with experimental colleagues
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highly motivated and enthusiastic Postdoctoral Research Fellows, on a pathway to permanency, to undertake world class research and development work to support the NIHR-funded programme of work on tackling
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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researcher will be part of the Academic Centre for Mental Health and lead a programme of work focussed on analysing routine data and data collected by the Centre for Pesticide Suicide Prevention (CPSP
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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their firm level commercialisation outcomes with a focus on Europe. The research conducted by this Fellow will benefit from new computational techniques and data sources and from being in CEENRG, a major