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to learn unfamiliar tools as needed (e.g. GitHub, APIs, new libraries). Familiarity with econometric techniques, especially panel data methods. Clear, concise written and verbal communication skills. Ability
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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Job description: Are you interested in conducting applied health psychological research which involves both quantitative and qualitative methods? Perhaps you want to pursue a PhD, but would like
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statistics, health economics, or in a scientific discipline relevant to healthcare (assessed at: application) Have demonstrated experience in relevant research methods, for example through publications in peer
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hold, or be close to completion of, a relevant PhD/DPhil, have relevant experience in the integration of social science methods and ethical analysis and possess sufficient specialist knowledge of ethics
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Magalhaes to support a research project aiming to develop machine learning methods for drug repurposing in ageing and frailty disease. We aim to employ a machine learning approach to predict, among existing
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release on these projects can be found at the following link . This position’s focus is on developing engineered systems and methods to quantify the physical interactions between migrating cancer cells and
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. About You Skills and experience required for the role: PhD (or near-completion) involving qualitative research methods. Knowledge of qualitative research approaches and ethics. Experience of designing