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/Project This post is within the School of Engineering and Materials Science, a large School with 108 academics, more than 250 PhD students and over 2500 undergraduate students. It is one of five schools in
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transcriptomics and proteomics data and will be integrated within a team within our lab working on this large project. The Ciccarelli lab is highly collaborative and interdisciplinary and the ability to work in a
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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of Epidermolysis Bullosa (EB), with a focus on developing personalised medicine. This role offers the chance to dive into big data, integrating single-cell RNA sequencing and spatial proteomics using the latest
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. Bayesian inference, methodologies, e.g. modelling of spatio-temporal data, and applications, e.g. biostatistics. About You The successful candidate will hold (or be about to receive) a PhD (or equivalent) in