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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
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will deliver projects that leverage large-scale electronic health record data and rich cytometry data derived from full blood count analysers to develop and refine machine learning models to improved
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, the development of clinical diagnostic assays, and bioinformatic analysis of next generation sequencing data would be a distinct advantage. Experience with samples related to Melanoma and Head & Neck cancer
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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of a team, are also requirements of the role. About the School This post is within the School of Engineering and Materials Science (SEMS), a large School with 108 academics, over 250 PhD Students and
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need to have the ability to work both independently and as a member of a team. About the School/Department/Institute/Project This post is within the School of Engineering and Materials Science, a large
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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aims to address challenges of personalised dementia care planning involving people without informal carers, with a focus on integrating primary and social care support. The post is part of a large multi
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Nigeria. The post holder will be responsible for field data collection in Nigeria, data analysis and writing academic reports/articles for the project outcomes. The post holder will be mainly responsible