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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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. Computational modelling approaches are frequently used alongside experimental research programmes and much of our research crosses traditional boundaries, including the relationship of biodiversity to the health
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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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post has arisen to work for 2 years (in the first instance) on a Programme grant joint between UCL, Insititute of Child Health and University of Newcastle entitled INSTINCT-MBINSTINCT MB. The work in the
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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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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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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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motivated Research Fellow with a strong background in statistical genetics and/or computational biology to join our team. The successful applicant will lead a cutting-edge research programme which aims
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their proposed programme necessitates a Leverhulme ECF rather than a project grant or alternative postdoctoral fellowship; and why King’s College London is an appropriate host for them and their research project
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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research