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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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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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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
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and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models (LLM) and other key agentic tools
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motivated research assistant with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods using liquid biopsy next generation sequencing data for cancer
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major hurdles in the use of genomic data in public health – access to big data sets, the technology to analyse these data, and the knowledge to interpret the results. In this role, you will develop