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issues across the programme, escalating appropriately and driving mitigating actions through to resolution Work closely with workstream leads to ensure plans are realistic, resourced and aligned
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background. The successful candidate will be appointed to the role that best aligns with their skills, experience and interests. In contrast to traditional research careers, we are committed expert
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that reflect inclusive, student-centred approaches. In addition, you will review and update policies to reflect inclusive, universal design principles, ensuring alignment with institutional commitments, whilst
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direct relevance to AMR surveillance and vaccine development. The main responsibilities will include managing and analysing whole-genome sequence data, developing and applying bioinformatics workflows
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the OEIS, pioneer the use of mobile phone apps at scale for patient reported symptoms, and align with blood sample collection, for use in future genomic analysis and personalised medicine. The post will work
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the physics of the imaging measurement to predict unseen imaging phenotypes. This requires new research across multiple domains, including biophysical modelling, physics-based simulation, development of imaging
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-groups/wang-group/ In the Wang Group, we develop and apply interdisciplinary technologies that bridge high-resolution spatial biology and genome-wide discovery. By integrating multi-omic sequencing and
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origin mapping, translocation-capture sequencing and 3D genome architectural analyses, supported by our established in-house computational pipelines. Interested candidates should hold a PhD, or be close
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generation of knockout, knock-in, or conditional alleles.* Extensive proficiency in molecular biology techniques, including molecular cloning, DNA/RNA extraction, PCR, RT-qPCR, and sequencing.* Strong
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be close to completion / have equivalent postdoctoral level experience) in a relevant area. Wet-lab experience of preparing samples for next-generation sequencing, experience of conducting research