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engineering. Applicants are expected to have (or be close to obtaining) a PhD in information engineering, computer science, civil engineering or cognate discipline. They should also have good written and spoken
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work involving marine bivalves. The ideal candidate will be self-motivated, passionate about cancer genome biology and somatic evolution, and willing to learn, develop and apply state-of-the-art
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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research
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of cardiovascular and and cardiothoracic diseases. The successful candidate will be educated to degree level, with a PhD (or equivalent) in a relevant subject area (e.g. Medicine, Computer Science, Engineering, or
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analyses etc. to obtain biological insight. A background in neurobiology or a strong quantitative preparation (e.g. in bioinformatics/computer science) will be helpful. Successful candidates will join a team
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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manage resources efficiently. A degree in Computer Science, IT Management, or a related field - or equivalent practical experience - is essential. Desirable qualifications and experience include
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of mutation burden and cancer driver mutation (CDM) dynamics in response to carcinogenic exposure. By integrating new computational and experimental approaches (e.g. Laser capture microdissection and ecNGS
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Limit of tenure applies We are seeking a skilled and detail-oriented research assistant to join our dynamic research team at the Institute of Metabolic Science (IMS) at the University of Cambridge
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About Us The MRC Biostatistics Unit is one of Europe's leading biostatistics research institutions. Our focus is to deliver new analytical and computational strategies based on sound statistical