283 data-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" Postdoctoral positions in United Kingdom
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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life and what happens when families are unable to support young people’s digital lives. Responsibilities include: • Supporting and conducting data collection across the research phases
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research standards, including animal handling, experimental procedures, and colony management. The postholder will contribute to experimental design, data interpretation, and dissemination of research
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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plasticity would be useful but not essential as training will be provided. Informal enquiries may be addressed to Prof. Ed Tarleton (email: edmund.tarleton @eng.ox.ac.uk) For more information about working at
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opportunities as this is a network grant including external collaborators. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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information Informal enquiries are welcome and should be made to Professor Ian Eperon on eci@leicester.ac.uk Applications for job share will be considered. As part of the University’s ongoing commitment
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under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK
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measure the impact of wood-aging on a range of foodstuffs. This portion of the project involves undertaking final validation experiments and refining the data analysis pipeline, before creating a final