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Reporting to Dr Federica Gigante, the Principal Investigator, the post holder will be a member of the interdisciplinary research project Unveiling Networks: Slavery and the European Encounter with
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central eighteenth-century areas of concern such as campaigns for the abolition of the slave trade or early forms of constitutionalism. The Postdoctoral Researcher will also assist with a programme of
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. The project involves the discovery of medicinal chemistry optimisation of small molecule modulators of metabolic function and new target discovery using human cellular models. The post is funded by NovoNordisk
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scientific research and quality control, and prior experience of research administration. The post is based in Oxford. The postholder will help coordinate a human participant cohort in Uganda where individuals
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Computational Methods for Advanced Research to Transform Biomedicine ( SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and
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of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date
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sciences or a related field would be beneficial, especially computational social science, behavioural science, communications, statistics, economics, computer science, finance, or management. Experience
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with different diseases in diverse populations and to identify potential therapeutic targets. This is an exciting opportunity to contribute to a programme of research that assess the causal relevance
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intellectually stimulating environment. This full-time fixed-term post is available until 31 March 2026. There is a possibility that the post may be extended if the project’s funding is extended. All applications
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to the selection criteria. This post is full time and available immediately for 2 years in the first instance. The closing date for applications is 12.00 noon on Monday 16 June 2025, interviews are likely to be