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their application in Welsh and will be interviewed in Welsh, if shortlisted. Additional Information Applications for this role will take the format of a CV submission and cover letter. Share Share this via Or copy
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schizophrenia-related symptoms in animal models (mice), in the context of a collaborative project with clinicians and computational scientists. This project will be supervised by Prof Oscar Marin and Prof Beatriz
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Guy’s Campus, Denmark Hill and UCL. About the role: To investigate the cellular mechanisms underlying schizophrenia-related symptoms in animal models (mice), in the context of a collaborative project with
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of background knowledge; implicit knowledge is derived by performing reasoning over event graphs; and the comprehension model is developed with built-in interpretability and robustness against adversarial attacks
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organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling
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, an understanding of evolution of foundation models, and a good grounding in multimodal learning, including fusion and alignment. How to Apply Please submit an application via the Queen Mary Portal and upload a copy
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. These include (1) encoding synthetic dimensions in molecules confined in rotationally magic traps and (2) the creation of many-body quantum states of molecules in optical lattices for quantum simulation (3
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expertise in organoid models of neurodevelopment to join our team and be involved in a MRC funded project aimed at generating region-specific brain organoids and assembloids from multiple gene-edited human
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://www.aria.org.uk/opportunity-spaces/nature-computes-better/scaling-compute/ The objective of our project, funded within this programme, is to develop a scalable and modular simulation framework. At the lowest level
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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental