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development of clinical risk prediction tools. You should be confident working with large and complex datasets, using statistical programming languages such as R, Python, Stata or SAS, and have a strong
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to communicate complex scientific ideas clearly and concisely. Work at the interface of experiment and computation, in a group that designs antibodies and nanobodies in silico and tests them in house, with
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