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to date by validating numerical models against test data, before undertaking parametric studies to investigate the sensitivity of the key variables that affect the flexural performance of composite steel
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with a first class or upper second-class degree in engineering, physics, applied mathematics or a related field. A solid foundation in fluid dynamics and heat transfer, and experience with computer
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of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines. Strong organisational skills and
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. Ability to work independently and as part of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines
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academic CV, detailing your education and qualifications; employment history; publications; and any other relevant information. You must nominate two academic referees (including one from your most recent
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. For further information, please contact sharmila.sumsurooah@nottingham.ac.uk with your CV and transcript. View All Vacancies
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OPM-MEG sensors tailored to paediatric applications. The project will be supervised by Dr Anna Kowalczyk and Dr Barbara Pomiechowska. Additional Funding Information The project is funded by an EPSRC
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. Further details are available on the International website (http://www.lboro.ac.uk/international/applicants/english/ ). Funding information: The studentship is for 4 years and provides a tax-free stipend of
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family is a prerequisite to conducting this project. The student will then verify and validate the model using observation data from previous studies and current 1-D or 2-D models. The student will work
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Water Infrastructure & Resilience (WIRe)' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section: A ‘Personal Statement’ (this is a mandatory