116 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "St" Postdoctoral positions at University of Oxford
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We are seeking a talented and motivated postdoctoral researcher to join our Somatic Evolution Research group led by Dr Verena Körber . You will contribute in the research of somatic evolution during
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cutting-edge research at the intersection of Digital Sociology and Public Policy. The successful candidate will join a small but growing connected families research group led by Dr Ekaterina Hertog and Dr
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Lab (Principal Investigator: Dr Abhishek Banerjee) to lead experimental work on a Wellcome Trust-funded project exploring the mechanisms of behavioural flexibility. The project combines behavioural
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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volcanic arc using state-of-the-art deep learning techniques and modern seismological processing workflows, reporting to Dr Sacha Lapins. This role offers an exciting opportunity to process multi-year
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their expertise in being part of a laboratory delivering assay results to underpin a multicentre drug screening programme in ALS. This post is suitable for a bioscience graduate with excellent organisational skills
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)”. The position is available immediately and is a shared appointment between the Universities of Oxford and Edinburgh with equal time at each institution. Supervisors will be Dr Antje Weisheimer in Oxford, Prof
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and international institutions is highly desirable. They postholder will contribute to the strategic development of the Initiative’s research programme and to its external engagement with policymakers
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to