186 parallel-computing-numerical-methods-"Prof" positions at University of Nottingham in United Kingdom
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conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional simulation
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/ developing research profile and/ or respected national/ international profile in mixed methods around human-computer interaction PhD or equivalent in relevant subject area or the equivalent in professional
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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methods including quantitative, qualitative and health economic approaches. Informal enquiries may be addressed to the Nottingham MHM programme lead for mood disorders and lead supervisor of this PhD: Dr
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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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laboratory work and will focus on the successful co-ordination of sites and public engagement activities. The successful applicant will work with Prof Morling alongside the recruiting NHS sites and the team
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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leader in engineering innovation and drive technology, we design and deliver high-performance systems for industrial, automotive, and renewable energy applications. We are now seeking a dynamic Programme
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging