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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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health economic impact. Further detail: We have demonstrated proof of concept on the lab bench of a UV ‘elucidation’ method. This identified previously missed bone fragments that had passed manual
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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academic roles, should they arise, at Durham or elsewhere. Successful applicants are normally expected to be within 8 years of completing their PhD, although career breaks for parental leave and/or health
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computational chemistry. Position 2 will seek to develop a new computational method combining atomistic modeling with experimental microscopy as an extension of our group’s original modified Hamiltonian formalism
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. The successful candidate will also have the opportunity and be expected to develop and conduct their own PhD research on how racism creates epistemic injustice and restricts formal and informal carers
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methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease. The successful applicant will join an
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fidelity. This role will involve a mixed-methods approach, including quantitative and qualitative data collection, fidelity assessment, and economic modelling. The Research Fellow will work closely with
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theory of decision-making under both risk and delay - Affective Imagination Theory (AIT). The main research objective of the grant is to combine formal and computational models with rigorous empirical
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of the project’s four research sites, using feminist, creative, and participatory methods including qualitative interviews, counter-mapping, and Photovoice. They will analyse qualitative data, and