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of Technology and QuTech. The goal is to further develop fault-tolerant architectures for photonic platforms based on fusion-based and measurement-based computation, addressing photon loss and other hardware
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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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-technology Modelling & robustness analysis of large-scale stochastic biomolecular networks Biomolecular network inferring Human control systems More information: Synthetic Biology Study options Study options
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Our aim is to develop world-leading researchers in health economic and health technology assessment, working to improve health and wellbeing through better decision-making. PhD: 3-4 years full-time
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, mathematical, computational and statistical modelling, bioinformatics, parasitology, immunology and polyomics (genomics, transcriptomics, proteomics, metabolomics). Basic and applied science projects
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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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of Artificial Intelligence and Big Data Analysis for Self Organisation Use cases of 5G technology (example areas include): Smart Transport, Smart Agriculture, Connected Health, Body area networks, Environment
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of biological functions using advanced technology. Specific areas of interest include: modelling kidney disease in Drosophila insect neuropeptides and GPCRs ‘omics and network modelling in Drosophila designer
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with practice, people with information, and technology with humanity. Our research focuses on the following areas: Theoretical approaches to information Issues of post-modernism, relativism, and