45 parallel-computing-numerical-methods-"Multiple" Fellowship positions at University of Nottingham
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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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, interprets reports, evaluate and criticise texts and bring new insights. Ability to creatively apply relevant research approaches, models, techniques and methods. Ability to assess and organise resource
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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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their initiative and creativity to work on multiple research projects, develop research methods and extend their research portfolio. The role is available on a fixed term basis to 30th November 2026. Hours of work
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, interprets reports, evaluate and criticise texts and bring new insights. Ability to creatively apply relevant research approaches, models, techniques and methods. Ability to assess and organise resource
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research approaches, models, techniques and methods. Ability to assess and organise resource requirements and deploy effectively. Ability to build relationships and collaborate with others, both internally
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relationships of novel in-house manufactured metallic powders for additive manufacturing through a range of approaches involving finite element modelling for particle impact and multiple layer growth
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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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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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