44 parallel-computing-numerical-methods Fellowship positions at University of Nottingham
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experience in granular mechanics (soil mechanics background welcomed) Demonstrate experience in experimental and/or numerical research methods Have knowledge of soil–structure or material interface behaviour
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Applications are invited to join an ERC-funded research programme in the laboratory of Dr Vinay Shukla. The position is part of the project BreathingUnderground, which explores how oxygen
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The UK chemicals sector underpins national prosperity, industrial resilience, and sovereignty across critical supply chains. However, it faces numerous challenges: intensifying global competition
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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We are looking for a highly motivated researcher, whose expertise lies in statistics and computational methods, to work with Professors Theodore Kypraios and Philip O’Neill on an NIHR-funded project
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opportunity to use your initiative and creativity to develop research methods and extend your research portfolio. The School of Medicine recognizes the importance of continuous professional development and
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, gout, clinical trials and epidemiology. About you- you will have the opportunity to use your initiative and creativity to identify areas for research, develop research methods and extend your research
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The University of Nottingham are seeking to recruit a highly motivated and enthusiastic computational chemist for a Postdoctoral Research Associate/Fellow post within the research group of Professor
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. The successful candidate will have the chance to engage in the development of novel research methods, extend their research portfolio and contribute to the evolution of technologies such as the use of bio
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience