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• Discounted bus travel and Season Ticket travel loans • Membership to a variety of social and sports clubs This role also offers the opportunity for hybrid working. Application Process You will be
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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requirements of the role. Please note referees may be contacted at any point in the assessment process. If you upload any additional documents which have not been requested, we will not be able to consider
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with participants to deliver measures concerning people’s experiences of the diagnostic process, their access to services and their general well-being and life quality. The positions are ideal for people
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equality, diversity and inclusion in all our activities, processes and culture. We encourage applications from all sections of society. The LMB particularly welcomes women, minority ethnic and disabled
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procedure (RAP) and Framework approaches Collaborate with team members to contribute to complementary mixed methods research outputs: conference abstracts, presentations , publications and reports
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
investigate the large area production of graphene, BN, MoS2 and other layered materials, optimize their transfer process in view of their application in energy, electronics and photonics. This will include
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-care For informal enquiries about this job contact Stephen Bradley, Senior Lecturer: on stephen.bradley @sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process
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on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting academic will not be told
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are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats