526 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" Fellowship positions in United Kingdom
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instance. Further funding to support the post may be available. About you Applicants must have a rigorous foundation in heat transport phenomena, proven proficiency in computational fluid dynamics (CFD
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Partnership Training (APT): A programme of work to co-design and evaluate the effectiveness of training a person with aphasia and their communication partner to communicate better together” (NIHR Number: 208121
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programme: Staff Support Service • Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. As London’s Global University, we know diversity fosters
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with a strong background in computational modelling or scientific machine learning. You will also have the ability to conduct independent research and a developing track record of publications in
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reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a structured development programme and provision of both formal and ‘on-the-job’ training
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The Opportunity: You will use a variety of analytical methods and coding techniques, including social computational approaches, to analyse how emotional and identity-based narratives and visuals
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We are seeking to appoint a Clinical Research Fellow who will have specific responsibility for research and for developing research objectives and proposals for the Digital Cancer Screening Research Group. The role will provide an opportunity to work across multiple projects within the realms of...
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instance. Further funding to support the post may be available. About you Applicants must have a rigorous foundation in heat transport phenomena, proven proficiency in computational fluid dynamics (CFD
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and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will consider
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can support both health and mobility outcomes. The successful candidate would be responsible for the more technical parts of this project, leading the computational modelling of charging infrastructure