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About the role The post is funded by the DSTL to investigate the processing of highly textured ceramics for armour applications The parasitic nature of armour systems means that their weight imposes
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technologies, drug discovery and advanced therapeutics. We have excellent facilities to support our parallel use of pre-clinical cell and in vivo models, alongside human cellular models, which provide
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, and a solid understanding of numerical analysis and familiarity with the use of analytical tools. They should also have knowledge and experience in parallel coding and spectral methods. They must have
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ligases, (2) characterise the molecular features that enable selective substrate recognition, and (3) explore how these processes are corrupted in the context of viral infection and autoimmune disease. We
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to training courses, seminars, and mentoring opportunities. You will also work closely with Dr Ellen McDonagh's team at Open Targets / European Bioinformatics Institute. You should have strong organisational
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise. This will include the development
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undertaken in the NHS require a few days stay in hospital. However, it is possible to discharge some patients on the same day as their operation. We are preparing for a large randomised controlled trial by
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should be directed to Professor Ronita Bardhan on rb867@cam.ac.uk . Questions on the application process should be directed to the School's HR Team on sahhr@admin.cam.ac.uk . The closing date