56 high-performance-computing-postdoc Fellowship positions at University of Nottingham in United Kingdom
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research
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based on existing research on high-frequency methods for built-up structures and their vibrational behaviour. For this, we are looking for a candidate who is strong in both the analytical background
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deliver research from fundamental to high TRL. The successful candidate will contribute to several projects by managing a growing research team while conducting their own investigations. As a senior
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of the literature relating to ‘Blairism’ and to the study of legacy effects in policy analyses A high level of competency with time series modelling OR age-period- cohort modelling OR structural equation modelling A
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opportunity to join one of the world’s leading metrology research groups and contribute to high-value research into optical and quantum metrology. The outcome of this project will contribute to a technology
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acceptable but will need to be demonstrated through certified evidence of substantial training and experience that has qualified candidates to plan, direct and perform an independent research programme with
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, direct and perform an independent research programme with substantial deliverables. Ideal candidates will also have expertise in sustainable cities and communities, human-environment interface and the
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of the Researcher Development Concordat (www.vitae.ac.uk/policy/concordat). • Opportunities to produce high-quality publications. • Development of multidisciplinary skills in Raman spectroscopy, machine lerning, and