131 computer "https:" "https:" "https:" "https:" "Dr" "UCL" positions at Imperial College London
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Disclosure and Barring Service (DBS) check, at the appropriate level,will be required for the successful candidate. Further information about the DBS disclosure process can be found at http
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Associate (post-doctoral) is to conduct world-leading research on Neuro-Symbolic Debates for Safeguarded Generative AI, under the direction of Prof Francesca Toni, in collaboration with Dr Soteris Demetriou
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full-time and fixed term post for 3 years. Anticipated start date: 7 October 2026. Informal enquiries should be directed to Dr Inês Baptista, i.baptista@imperial.ac.uk . Please note that job descriptions
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particular emphasis on preparing analysis-ready datasets that support downstream statistical and machine learning workflows. You will work closely with Dr Cynthia Sandor within a collaborative and
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
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The post The Faculty wishes to recruit a Postdoctoral Research Associate to support the work of Dr Charlotte Bishop. This AHRC funded post is available from 1st July 2026 to 30th April 2028
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Supported by funding from the Wellcome Trust, we are seeking a talented post-doctoral research associate to join the team in the group of Dr Andrew Edwards at Imperial College London. This role
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effects and treatment response. This work will help address major research questions related to medication safety. You will be working with Dr Cynthia Sandor , a Group Leader in the UK Dementia Research
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required. In recognition of the fixed-term nature of the contract, Dr Moore will provide additional support towards securing further funding, whether through academic or industry routes, and at request, will
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datasets and tools. While the role is computational, you will work closely with experimentalists and engage with real industrial case studies, ensuring that developed methods are robust, interpretable and