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) that leverage certification and conformal prediction techniques to offer probabilistic and adversarial robustness guarantees. Applications include detection of misaligned LLM intentions such as deception
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educator and researcher in departments across the Faculty of Arts and Humanities. Applicants must be within seven years of their doctorate at the time of application. Funding for the posts is short-term and
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academic staff are drawn from a variety of disciplines across the arts, humanities and social sciences, focusing our collective and impactful expertise on real world issues. Our research impact and research
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departments across the Faculty of Arts and Humanities. Applicants must be within seven years of their doctorate at the time of application. Funding for the posts is short-term and non-renewable; they do not
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Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you: To be successful in this role, we
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for healthcare applications using PET imaging. This position will be working within Theme 1 of the Programme: ‘Imaging-guided Drug Delivery”. Expertise is required in nanomaterial radiochemistry with a variety of
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the modelling to identify and define: (i) targets for intervention in aetiopathogenic pathways; and (ii) applicable cohorts, progressing to (iii) interventional studies to investigate and test causal
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, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more
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to contribute to wider CSNS programme activity, including the Engelsberg Applied History Programme and the Ax:son Johnson Institute for Statecraft. The qualified applicant will have a PhD in a field related to
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nociceptors in arthritis pain. The project involves the use of a variety of techniques, including in vivo calcium imaging, transgenic mouse lines, chemo genetics, behaviour and histology to study silent