14 well-being-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Queen Mary University of London
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Maria Liakata in the context of the RAi UK/UKRI funded Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https
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mechanisms linking matrix mechanics, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate
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a strong track record of high-impact publications, external funding (>£4 million) and mentoring early-career researchers within a collaborative and supportive environment. More information: https
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modelling, fluid–structure interaction or high-performance computing being desirable. How to Apply Please complete the online application form via the Applicant Portal, and upload a copy of your CV. About
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closely with the PI, researchers, and students in Dr Malanchini’s research group, as well as with co-PIs at QMUL, University College London, and the Norwegian Institute of Public Health. About the School
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framework such as PyTorch. You will have knowledge of software development principles, and machine learning, including deep learning experience, as well as a strong background in research processes
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, we have a range of work-life balance and family-friendly, inclusive employment policies, as well as flexible working arrangements. Queen Mary’s commitment to our diverse and inclusive community is
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PhD in Immunology. They should have knowledge and experience of working with and isolating human monocytes. Experience in metabolism assay, large spectral flow cytometry panels as well as experience
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friendly, inclusive employment policies, as well as flexible working arrangements. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes
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well as flexible working arrangements. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the