744 parallel-and-distributed-computing-phd-"Meta"-"Meta" Fellowship positions in United Kingdom
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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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that the structural models use high-fidelity aerodynamic data to compute the aerodynamic loads and inform the overall system design. About You You will hold a PhD (or close to completion) in aerospace engineering
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computational modelling to investigate a wide range of questions in the UK and overseas. What we are looking for: PhD in one of the following areas: Mathematical Modelling, Statistics, Infectious Disease
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successful appointee will be centrally involved in the delivery of the ARIA-funded Forecasting Tipping Points programme , and will work collaboratively with Professor Doug Benn (University of St Andrews) and
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of disseminating research findings (e.g., through journal publications and conferences). - Have a PhD in Psychology or a related discipline (the PhD thesis must be submitted prior to starting the position). What we
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: • PhD (or nearing completion) in optics, photonics, physics, electrical engineering, or a related field. • A record of high-quality publications with evidence of contribution to the writing
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for the provision of strategic leadership and vision. Developing and leading a team of academic/research staff and post-graduate researchers (PhDs) to deliver research outputs of outstanding quality. Obtaining
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. For candidates interested in research beyond the current post, there may be opportunities available to develop a programme towards a higher degree (PhD) in an associated topic. You will be working in a growing
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. The person appointed will be expected to work with senior members of IGH to develop ideas for and secure funding for a fellowship or other research programme. About the role We seek an individual with a strong
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at the University of Birmingham is pleased to offer a Part-Time Research Fellow post funded through the NIHR DEMCOMM Fellowship Programme. This post supports a motivated qualitative researcher to contribute