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are dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place. About The Role We are seeking a part-time qualitative/mixed methods researcher (1
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the MPhil/PhD Programme can be found here: https://www.lincoln.ac.uk/course/socscirp/ . One of our project goals is to contribute to diversifying suicide research and related knowledges and practices
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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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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techniques, statistical methods or data analysis in particle physics (assessed at interview) Experience in the Python and/pr C++ programming languages Effective communication skills, both written and verbal
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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