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About the Role Applications are sought for an exciting opportunity within the Ciccarelli lab, within the Centre for Cancer Evolution, Barts Cancer Institute. We are seeking an independent, highly
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skills in distributed machine learning, networked systems, data management, and/or software engineering are recommended for this position. The post requires strong programming and system development
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-tumour heterogeneity, clonal evolution, biomarkers of response and resistance to therapies and developing methodologies to study lymphoma cell populations (Okosun et al, 2014; 2016, Nature Genetics; Araf
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop
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disciplines both within and beyond QMUL and are a core member of the International Trauma Research Network that includes academic partners across Europe and North America. Our highly developed human discovery
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and conduct research activities related to pulsar astronomy. The primary aim will be the development of a new hierarchical framework for profile-domain timing, but a wide range of activities in
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scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies
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postholder will be encouraged to contribute to publications and develop their research profile. About You The ideal candidate will have: Strong qualitative research skills, including data collection and
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experimental approaches to develop and validate novel in vitro and ex vivo approaches that model arterial medial calcification without using any animal products. This work will represent an exciting step forward
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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