398 parallel-and-distributed-computing-phd-"Multiple" positions at KINGS COLLEGE LONDON
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English. Good time management and organisational skills, including ability to prioritise and manage multiple tasks. Desirable criteria Proven ability to work effectively within multidisciplinary research
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breast cancer. In collaborating with cross-functional teams, including bioinformatician, computer scientists, AI engineers, biologists, and clinicians, you will validate AI-generated insights by comparing
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Engagement (PPIE) activities and supporting our Communications Manager with content creation, event delivery and implementing the Hub’s communications strategy. Focused on engaging multiple and varied
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effect was allergen-specific and sustained over time. However, the underlying immune mechanisms of oral tolerance induction to peanut are not well understood. In this research programme, we will use unique
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-CT, PET-MRI, nuclear medicine and radiotracer production facilities. We are embarking on an extensive research programme that will include hosting projects from clinical, academic and industry
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working relationships with academics at all levels, listening to multiple voices and guiding conversations to the most effective way of designing provision. The role holder will work both independently and
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We
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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Hold a PhD or about to obtain a PhD degree in Computer
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About Us The Faculty of Life Sciences & Medicine brings together
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About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant New