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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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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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-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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-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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point of contact for queries from international partners and stakeholders. Oversee financial administration, including monitoring budgets, processing invoices, and ensuring compliance with university and
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networks, stochastic processes and mathematical biology. Group members work on a variety of topics from ecology, evolution and epidemiology, through to animal and human behavioural dynamics. We develop and
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. Anonymous 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
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. 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 the goal