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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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Health Data Science) Start date: January 2027 (or earlier) We are offering an exciting fully funded PhD studentship at the University of Cambridge, embedded within Cancer Data Driven Detection (CD3) - a
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of the trypanosome intraflagellar transport (IFT) motors and determine how their architecture supports flagellum assembly and function. You will apply multi-disciplinary approaches from cell biology, parasite genetics
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biostatistics. We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. The BSU current research portfolio is organised into five main