184 computational-physics "https:" "https:" "https:" "https:" uni jobs at University of Sheffield
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-class honours degree or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and
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"ROSEHIPS" Programme Grant. The ROSEHIPS project is focussed on creating new technology for Population-Based Structural Health Monitoring (PBSHM). It is a consortium between the Universities of Sheffield
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(pro-rata) Work arrangement Part-time Duration 01/02/2026 - 30/09/2026 (flexible upon discussion with successful candidate) Line manager Principal Investigator Direct reports None Our website https
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or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your
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computational and offers an opportunity for a student to apply the knowledge of particle and astroparticle physics and detector technology in other areas which are linked to key issues of the contemporary world
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BBSRC Yorkshire Bioscience DLA Programme: The role of long non-coding RNAs in guard cell function and development School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr
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Design and synthesis of advanced heterogeneous catalysts for sustainable petrochemical transformations School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Conte
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their programme. The ideal candidate will have outstanding customer service and interpersonal skills, and an ability to put people at ease through sophisticated and sensitive verbal and non-verbal communication
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website https://sheffield.ac.uk/mac For informal enquiries about this job contact Phillip Pickstock (p.pickstock@sheffield.ac.uk) Next steps in the recruitment process It is anticipated that the selection
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, Statistics, Data Science etc. Essential Application & Interview A PhD (or equivalent research work experience) in a quantitative discipline related to the research programme e.g. health economics, labour