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postgraduate degree and PHD in a related field and an enviable track record working with several modalities including genomics (WES, SNPs, transcriptomics), EHRs, and/or medical imaging. Your experience with
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translational research to investigate, integrate and interpret primary care, hospital, imaging and a variety of other data sources to advance our understanding in the above areas of research. We are part of many
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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Management and other members of the Research and Innovation Office team to ensure the sound financial management of awards. This will include tasks such as setting up of project codes for new awards
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-operative imaging, record keeping and scrubbing into surgery to assist when required. You will also be involved in teaching and assessing veterinary students in theatre related skills. This role offers
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specialist referral services ranging from advanced diagnostic imaging to emergency surgery and intensive care 24 hours a day 365 days a year. If you want to begin your veterinary nursing career in a supportive
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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, with solid knowledge of computational coding applied to genomics. Significant research laboratory experience in genomic and transcriptomic computational data analysis is essential, as well as experience
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maintaining a high standard of service. SQL/database knowledge Experience with Moodle platform administration, including both frontend user management and backend configuration Experience in debugging PHP code
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analytic codes to investigate the benefits and harms of medications. Candidates must have a doctoral degree (or be within 3 months of anticipated completion of a PhD) in medical statistics or epidemiology