18 developer-"https:"-"https:"-"https:"-"https:"-"https:"-"INSA-RENNES" Postdoctoral positions at Queen Mary University of London
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development of the ERC Starting Grant research programme Robust econometrics of games in IO (REGIO). The project develops advanced econometric methods to study firm behaviour and competition in Industrial
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About the Role The post-holder will have responsibility for developing Visium spatial transcriptomics and multiplexed immunohistochemistry in the Lockley group to unravel the clonal evolution
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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, metabolism, endocrinology, and hypoxia biology. This position offers an excellent opportunity for a motivated early-career researcher seeking to develop expertise in integrative physiology and translational
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develop and evaluate computational methods for modelling patient-specific aortic and valvular haemodynamics. The position is funded until March 31st 2028 in the first instance, and available immediately
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appointment offers unusual continuity for a postdoctoral position, providing the time and resources to develop a substantial body of work from experimental model development and single-cell discovery through
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. Key duties involve driving foundational research and system development in Edge AI and decentralized learning architectures. Responsibilities encompass conducting independent systems-level research
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further develop Gravity from Entropy towards a theory of quantum gravity and to derive testable predictions with direct relevance for cosmology. The research of the successful candidate will focus
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, collaborating closely with a similar post-holder in Wales. In the first year, this will involve developing information materials to support the offer to choice, collaborating closely with the NHS and patient and
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high