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-groups/wang-group/ In the Wang Group, we develop and apply interdisciplinary technologies that bridge high-resolution spatial biology and genome-wide discovery. By integrating multi-omic sequencing and
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individual capable of thinking and working independently within a multidisciplinary research environment. Applicants should have or shortly expect to obtain a first or high 2:1 bachelor's degree from a UK
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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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tumorigenesis. Genomic and single-cell approaches may also be used, supported by collaboration with computational scientists. References/further reading Zhu H, Chan ASL & Narita M. The rise of RAS: how gradual
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sequencing, flow cytometry, multiplex immunofluorescence, spatial transcriptomics, and standard molecular biology approaches. A computational component may also be available, depending on the skills and
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major £10 million national research programme bringing together leading experts in cancer epidemiology, biostatistics, artificial intelligence, and health data science. THE PROJECT: Early cancer diagnosis
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. For further information regarding eligibility and PhD projects available please see PhD Programme MRC Biostatistics Unit (https://www.mrc-bsu.cam.ac.uk/phd-programme ) To apply please see the University's