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, experience managing and analysing ancestrally diverse genomic datasets, and expertise in computational genetics, including variant annotation and genome-scale analyses. Proficiency in R or Python, excellent
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– a £43.6M national programme co-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing
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role in facilitating research initiatives and supporting the day-to-day operations of a dynamic academic team. Key Responsibilities: Manage and coordinate the diaries of Professor Simpson and Professor
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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pay benefit, free on-site gym and wellbeing centre a comprehensive learning and development programme and support for your CPD Prospective applicants are encouraged in the first instance to contact
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locally-employed laboratory personnel, ensuring all laboratory activities related to the LSHTM-COMAHS programme and ancillary and future studies are performed in strict accordance to Good Clinical
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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and self-motivated postdoctoral researcher with a strong background in molecular and cellular biology, as well as computational biology. A track record of effective communication, teamwork and
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motivated computational Postdoctoral Research Assistant to lead on an established and successful research line aimed at understanding the genetic events that drive cancer evolution. We have a long-lasting
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About the Role The post holder over sees the management of the database system that supports the maintenance and growth of the engagement of one of Queen Mary’s largest stakeholder audiences, our global community of over 240,000 alumni. The role ensures the legislative compliance of the data...