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dealing with the large number of plankton types and with unresolved ecological processes especially around mortality. Modern, GPU based, modelling infrastructures provide promise towards running models
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the Liverpool City Region to build on the Young Voices, Big Ideas project and foster ownership of the Children Growing Up in Liverpool birth cohort study in the wider community, and understand how people perceive
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the Liverpool City Region to build on the Young Voices, Big Ideas project and foster ownership of the Children Growing Up in Liverpool birth cohort study in the wider community, and understand how people perceive
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with infants/children in LMICs. Experience and competency in the interpretation of neuroimaging data from large-scale datasets. Demonstrated experience building research capacity within LMIC teams
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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. You will have demonstrable experience in the analysis of large-scale biological datasets, applying statistical modelling and computational approaches to high-dimensional data such as bulk and single
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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Arctica screening microscope with Falcon 4i detector and a 300 kV Krios microscope with K3 detector and an energy filter. We additionally have access to a large range of outstanding facilities