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We are seeking a highly motivated Research Associate to join our team as part of the Engineering and Physical Sciences Research Council (EPSRC)-funded project: “Towards Power-Efficient
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The Digital, Data & Technology Department (DDaT) is responsible for the efficient delivery of IT infrastructure, digital products, and services; playing a vital part in enabling the University’s
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spectrometry techniques (QTOF, MALDI-TOF-TOF and triple quadrupole). Our ideal candidate will have: Experience in water, mass spectrometry and data engineer A PhD (or equivalent) in mass spectrometry related
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-time, office-based (with potential for occasional flexibility) and is funded until September 2032. Key Responsibilities: Recruitment and Admissions: Manage the recruitment process, including advertising
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across film, TV, games and immersive Virtual and Augmented/Mixed Reality. This work will make use of the latest advances in Machine Learning technology, e.g. generative AI, trained on datasets of world
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-Computer Interaction including ACM CHI, ACM UIST, ACM ToCHI, World Haptics, and ACM SIGGRAPH. About you We seek applications from enthusiastic individuals who have a background in Human-Computer Interaction
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The ideal candidate will have experience of conducting human randomised controlled trials using methods of assessing glucose metabolism such as blood sampling and processing and stable isotope tracers
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shortlisting We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details
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requirements. Further information is available on our application support webpage. Anonymous shortlisting We are constantly seeking to reduce the unconscious bias that enters any assessment process, with
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point of contact for queries from international partners and stakeholders. Oversee financial administration, including monitoring budgets, processing invoices, and ensuring compliance with university and