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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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Responsibilities Provide timely and accurate administrative support for all Degree Education and PhD courses offered by the department. Liaise with the Central Services team and Programme Offices to ensure efficient
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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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, adaptability, and a relentless commitment to client satisfaction. Main Responsibilities Lead the full lifecycle of client programmes, from commercial handover through to post-programme review—delivering to time
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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