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conditions, epidemiology, mathematical, computational and statistical modelling, bioinformatics, physiology, molecular biology, parasitology, immunology and polyomics (genomics, transcriptomics, proteomics
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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
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, innovation and entrepreneurship, health economics, data management and bioinformatics. Study options Study options PhD Duration: 3/4 years full-time; 5 years part-time Individual research projects are tailored
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for Mitochondrial Intervention Across Species Using Data-Driven Approaches (available as IPhD) Supervisor: Alberto Sanz MSc choices: Biomedical Sciences, Bioinformatics, Biotechnology, Immunology & Inflammatory
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Environmental 'Omics and Bioinformatics Environmental Technology and Bioenergy Environmental Hydraulics Nano and Environmental ScienceS for Innovative Engineering (NESSIE) More information: Water & Environment
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immunology, viral ecology, clinical virology, virus epidemiology, mathematical modelling and bioinformatics. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; MD
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biology, biochemistry, bioinformatics, genetics, cancer modelling and cell biology (including advanced in vitro and in vivo imaging), immunology and polyomics (genomics, transcriptomics, proteomics and
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structural bioinformatics, molecular modelling drug receptors, molecular pharmacology nuclear genomic architecture mechanisms of intracellular trafficking protein folding, targeting and modification protein
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areas of interest including (in alphabetical order): atherosclerosis bioinformatics cancer and leukaemia chemokines and cell migration cytokine biology dendritic cell biology imaging the immune response
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are linked and/or interdependent will be investigated. Further, their genomes will be bioinformatically mined for orthologues of cell cycle protein kinases and other regulators to catalogue the cell cycle