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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
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An opportunity has arisen for a talented researcher with an interest in genetic epidemiology and/or causal inference to join Dr Stephen Burgess's research group based at the MRC Biostatistics Unit
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imaging data - Developing new methods for inference of copy number alterations from single-cell DNA sequencing data - Analysing patterns of single-cell copy number variation to identify mechanistic
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-temperature electrical and magnetic measurements. With a strong track record of peer-reviewed publications, this individual will be able to demonstrate professional expertise and advanced problem-solving skills
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strong proven track-record of publication in relevant fields is essential. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research