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advancing the science underpinning sustainable, healthy and liveable cities of the future. This frontier research employs largescale digital datasets, artificial intelligence and statistical methods
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the IRIS Network AI and Sensing Research Group The position will be based in the School of Computer Science and Statistics, with Prof. Ruffini research team and affiliated with the ADAPT research centre
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digital datasets, artificial intelligence and statistical methods to quantify urban environmental metrics (e.g. emissions, air pollution and greenspace) and urban dynamics in unprecedented accuracy and
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… Requirements Research FieldPsychological sciencesEducation LevelPhD or equivalent Skills/Qualifications Communication, Organisational skills, Research skills, Statistical experience analysing large-scale
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, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in applying this skillset to the analysis of music data. The place
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communication and organisation, with demonstrable ability to meet deadlines. Confident in statistical analysis with R/Python/Matlab or similar Specific Requirements Strong research profile in field aquatic
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technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations and safety protocols, including working on research vessels
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of facilitating earlier and more effective treatments and better outcomes for affected individuals. The potential candidate should have strong statistical analysis experience (that can be applied to in protein
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in computational musicology, digital humanities, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in
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applications for a 12-month position as either a Research Assistant (Level 2) or Postdoctoral Researcher (Level 1) (depending on qualifications and experience), with a speciality in statistical image processing