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an objective and consistent method of measurement. The implication of this is a mechanism through which customer and supplier can agree on model quality. Furthermore, the outcome will inform the development
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of pseudorange correction models. Enforcing such constraints offers substantial potential benefits, including faster convergence, improved generalisation, and reduced overfitting. At the same time, these benefits
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predictive checking, model comparison) • Computational modelling with Python and Dynesty, JAX, NumPyro, and PyTorch • Use of asteroseismic and spectroscopic survey data (e.g. PLATO, Gaia, APOGEE, TESS) • High
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alterations that relate to CHI and principally evaluate their fit as biomarkers for CHI diagnostics. This project will provide training in gene editing, iPSC technologies, and complex cell models with a focus
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developmental incompetence and importantly, fertilised mutant oocytes generate abnormal single-pronucleus zygotes, a phenotype we recently showed is likely conserved in human. Thus, our animal model provides
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development (such as 3D modelling, VR, animation or interactive design) with inclusive design and accessibility. This project bridges computer science and social care to deliver a digital health training tool
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models remain limited to the world of standard dynamic range (SDR). This project seeks to bridge that divide, unifying methods and technologies designed for both SDR and HDR content-spanning still images
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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
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) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
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are conserved across species, including in the mouse, making the aged mouse model a useful means to understand and identify the molecular mechanisms that drive this process (doi: 10.1038/s41586-024-07238-x