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cancer. This role will contribute to an ambitious programme of research aimed at understanding and improving how diagnostic test results are managed and acted upon in primary care. The postholder will lead
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or a closely related discipline, with sufficient specialist knowledge to contribute effectively to an established translational research programme. You will have demonstrable laboratory experience in
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strong bioinformatic, analytical and programming and biophysical approaches to address biological questions. Applications for this vacancy should be made online and you will need to upload a supporting
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the appointment. You should have experience applying machine learning methods to biological or genomic data, strong programming skills (preferably in Python and/or R), and an understanding of population genetics
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. · To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. · To plan and manage own
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an extended team in multiple disciplines and locations. • Ability to identify research objectives and subsequently conceive, plan and independently execute appropriate activities to deadlines. • Ability
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, programming, communication & scientific writing skills contributing effectively and competently to the delivery of FRAME by designing and conducting the proposed research and producing published outputs
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an extended team in multiple disciplines and locations. • Ability to identify research objectives and subsequently conceive, plan and independently execute appropriate activities to deadlines. • Ability
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of a wider programme that involves the characterisation of organic solar cells based on a range of donor: acceptor blends by pulse EDMR spectroscopy at multiple microwave frequencies, with the aim
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program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project