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Field
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motivated Research Fellow with a strong background in statistical genetics and/or computational biology to join our team. The successful applicant will lead a cutting-edge research programme which aims
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-makers of tomorrow. Through a bespoke training and mentoring programme, Fellowships will provide successful candidates with the opportunity to excel as an excellent self-directed researcher, develop
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achieved or are about to achieve completion of clinical training (CCT). This fellowship supports those actively engaged in mechanistic discovery science and/or experimental medicine. They will receive
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innovative research programmes. You may also: Hold a PhD in genetics, pathology, cancer cell biology, computer science, data science, or a related discipline. Have a significant research profile with a strong
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standard while supporting the broader objectives of the faculty. You will also: Hold a recently completed doctoral degree (PhD or DEd) in Childhood Studies or a closely related field. Demonstrate a strong
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research programmes. You may also: Hold a PhD in genetics, pathology, cancer cell biology, computer science, data science, or a related discipline. Have a significant research profile with a strong
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extension. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area or equivalent
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selected candidates. This is a high-impact role with the potential to shape the future of rare disease research. Join us to push the boundaries of what’s possible in computational biology and personalised
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and the manager of your substantive post, if you are already undertaking a secondment role. The Leverhulme Trust’s funding regulations mean that individuals will have needed to have submitted their PhD
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innovative research culture in the Centre. The Research Fellow will use their research knowledge, skills and experience to contribute to the design and delivery of an ambitious research programme within