197 parallel-computing-numerical-methods-"Prof" positions at University of Nottingham
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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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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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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
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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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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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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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will work with and under the mentorship of Prof Nicolai Kraus. Apart from contributing to existing research projects, they will also be expected to also advance their own independent research career
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strategies. The University of Nottingham is leading a large programme grant ‘Public Health Intervention Responsive Studies Team’, funded by the NIHR until 2027. PHIRST-LIGHT is a collaboration between the
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University of Nottingham Ningbo China is seeking to recruit a Senior Manager, MBA/DBA Programme in Nottingham University Business School China. About NUBS China NUBS China is a young business school
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computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK