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Field
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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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, engineering and AI with industry scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and
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nonlinear Fourier Transform. Previous experience in the analytical investigation and numerical modelling of light propagation in nonlinear optical fibres, fibre lasers or resonators is required. Previous
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comprehensive approach to examining the theoretical underpinnings of facial age estimation and its application to real-world security settings. The project will use experimental methods in cognitive psychology
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Researcher (R3) Country United Kingdom Application Deadline 4 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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partial drainage effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and
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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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. The research will involve both analytical work and numerical computations. The balance between analytical and numerical type work is flexible and can depend on the preferences and skills of the successful
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methods for the automated extraction and discovery of image-derived phenotypes (IDPs) across large-scale population imaging datasets such as UK Biobank. You will design and optimise scalable computational
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research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process