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28 Oct 2025 Job Information Organisation/Company QUEENS UNIVERSITY BELFAST Research Field Educational sciences Sociology Ethics in health sciences Researcher Profile First Stage Researcher (R1
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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
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of priority elasmobranch species in the study area, while managing and analysing large telemetry datasets, and integrating environmental/spatial data to address key research questions on species ecology and
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turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and the ability to analysis and
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or Stata and a strong grasp of statistical methods, data analysis and regression modelling. You will have experience in using large complex datasets, data linkage, data cleaning, and good research writing
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public and community mental health. You'll: Apply advanced quantitative and quasi-experimental methods to large datasets (e.g. administrative, environmental, or health data) Contribute to high-quality
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The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data linkage project
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Are you an ambitious researcher looking for your next challenge? Do you have a background in stated preference research, choice modelling, economics, econometrics, statistics, or health data science
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large, highly diverse and multi-modal datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with