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candidate will work closely with a dynamic team of experimental researchers and computational biologists within the Population and Medical Genomics Centre. Clinical collaborations with teams at UCL and
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, utilising mathematical modelling, phylogenetic comparative methods, conceptual and philosophical synthesis, and a variety of computational approaches to understand the evolution of developmental processes
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Synthetic cell implementation and control using nano-technology Modelling & robustness analysis of large-scale stochastic biomolecular networks Biomolecular network inferring Human control systems More
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programme of high-quality internal training, a dedicated and cohesive team and exposure to our extensive network of international colleagues. Our students’ work results in high quality publications and
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the Institutes. A variety of approaches are used, including ecology, epidemiology, mathematical, computational and statistical modelling, bioinformatics, parasitology, immunology and polyomics (genomics
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Electronics and Nanoscale Engineering PhD opportunities The Electronics and Nanoscale Engineering research division is home to more than 200 research students working in fields as diverse as
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RAN and backhaul Self Organisation of Cellular Networks Use of Artificial Intelligence and Big Data Analysis for Self Organisation Use cases of 5G technology (example areas include): Smart Transport
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and GPCRs ‘omics and network modelling in Drosophila designer recombinases for genome engineering DNA rearrangements for Synthetic Biology topoisomerases and DNA topology mutational dynamics of unstable
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understanding of the nature of information and innovative solutions that connect theory with practice, people with information, and technology with humanity. Our research focuses on the following areas
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and Engineering A variety of approaches are used, including collection of experimental and observational data, epidemiological, mathematical, computational and statistical modelling, bioinformatics