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About the Role We are looking for a motivated Postdoctoral Research Associate in Multiscale Modelling of Composite Materials to join the Composite Design and Analysis (CDA) Group, led by Dr. Haibao
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About the Role This is an opportunity to work as part of the team and project “Development of Multi-Modal Foundational Models and AI Accelerators for Zero-shot Intelligent Surveillance System
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project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing (https://adsolve.github.io/ ). The role involves developing methods
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Technology Laboratory (DSTL), Electromagnetic Environment (EME) Hub. About You Applicants should have a PhD in modelling hypothetical scenarios, with and without data, for structured decision-making under
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Vitro Models. The project aims to use organ-on-a-chip technology combined with bioengineering approaches to develop, validate and use a suite of vascularised human tendon-chip models. These high quality
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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materials-based heterostructures , where the 2D nanosheets will act as transducers for electrical sensing applications. This will generate a knowledge-based platform to allow us to rationally engineer 2D
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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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of murine models of high-grade lymphoma with the aim of providing pre-clinical evidence to support the development of metabolic inhibitors as novel treatments for lymphoma, alone or in combination with
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based