59 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Glasgow
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pressure. C2 Basic computer skills and experience. C3 Excellent communication and interpersonal skills. C4 Strong organisational and customer service skills. C5 Team player who is committed and enthusiastic
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exposure on health outcomes in people with multimorbidity, using a combination of population-based data analysis and controlled experimental approaches. The project will analyse large-scale longitudinal and
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-computer interfaces, stem cell differentiation using nanotechnology, robots as orthotic aids, and the creation of artificial cells. Research areas Our research expertise covers the following areas: Advanced
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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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Structures Computational mechanics: simulation and modelling Computational material science Soil mechanics and geotechnics More information: Mechanics of Materials and Structures Water & Environment
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SysTems (GIST) (aka HCI) Information, Data and Analysis (IDA) GLAsgow SyStems (GLASS) Education and Practice Research themes Cyber security Healthcare technologies Low carbon and sustainable computing Media
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defining environmental policies such as setting biodiversity targets. This project will aim to construct spatial models of biodiversity, explicitly accounting for the temporal structure of the data
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Across Species Using Data-Driven Approaches Supervisor: Alberto Sanz Project description: Mutations in genes encoding mitochondrial OXPHOS components often cause devastating diseases. Paradoxically
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of approaches to research including decision analysis modelling, cost benefit and effectiveness analyses, risk and prediction modeling, data linkage and advanced meta-analysis. We have excellent
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applied to variety of data sources (from ‘omics’ to health records), and interdisciplinary skills including imaging and stratified medicine. PhD: 3-4 years full-time; 5 years part-time; Apply now Overview