403 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" Postdoctoral positions in United Kingdom
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About the role We have an exciting opportunity to join the Wood Lab in the Department of Paediatrics as our Postdoctoral Researcher This role is part of a larger interdisciplinary program focused
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, plan, and independently execute appropriate activities to deadlines; ability to communicate effectively both orally and in writing; willingness to travel overseas for international collaborations and
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form; ability to work as part of an extended team in multiple disciplines and locations; ability to identify research objectives and subsequently conceive, plan, and independently execute appropriate
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages
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. The post holder will contribute to the plan to deliver technical innovation and lead specified work packages developing the experimental plan with Dr Lieberam and other members of the team, and allocating
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experience. They will possess sufficient specialist knowledge in the discipline to work within the research programme and be able to contribute ideas for new research projects and research income generation
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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-of-the-art laboratory and clinical facilities that form an ideal environment for our translational research agenda. The main objectives of our research programme are to: • Understand the mechanisms
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the universities of Manchester and Oxford. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the
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subject by the start date of the appointment Good programming skills (r, Fortran, Python) Familiarity with eco-evolutionary optimality approaches to modelling vegetation Experience with working with large