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. Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data. The role is funded for 24 months in the first instance. About You
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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, contributing to our development and the success of our mission. The core responsibility of this role is the development of multiscale computational models, with particular emphasis on bio-based composite
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/Defra funded project entitled “Resilience of Anthropocene Coasts and Communities (RACC): assessing and responding to urban and post-industrial coastal risks”. The RACC project is investigating
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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About the Role We are seeking a researcher for a new programme focused on improving understanding of cancer risk and developing novel multicancer risk prediction models to support cancer prevention
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About the Role The main aim of this post is to identify and investigate novel genetic causes of hypopituitarism. The candidate will work with both human-derived material, mice models, and cell lines
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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Research Council’s (AHRC) Bridging Responsibilities AI Divides (BRAID) programme that will explore new technologies, new business models and new approaches to data provenance in pursuit of an equitable