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standard-setting methods Contribute to innovation in assessment, including programmatic and longitudinal assessment models Provide training and consultancy to academic and clinical staff in assessment
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
Please note that Garda vetting and/or an international police clearance check may form part of the selection process. Project: Statistical modelling & Medical imaging data analysis For an information
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implementation of spatial techno-economic models, accessibility mapping, and visual impact geodata integration, under the supervision of Dr Ross O’Connell. This work aims to support sustainable marine spatial
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Potsdam Institute for Climate Impact Research, and the Technical University of Berlin. The broad concept of the project is that currently available energy modeling systems are unable to simultaneously
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-Doctoral Researcher will work on an area of research which builds on Prof J. Griffith Rollefson's 2019-2024 ERC CoG project CIPHER: Hip Hop Interpellation (https://globalcipher.org/) and 2025-2026 ERC PoC
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and experiences. About the Lung Health Check Project This position is funded by a grant to advance lung cancer early detection, treatment and the provision of integrated services to cancer patients
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check will form part of the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its
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-clinical models. The salary will be commensurate with experience. Please note that Garda vetting and/or an international police clearance check may form part of the selection process. Project Title
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responses to different abiotic stresses (high temperature and drought) using specific seasonal conditions. The research project will involve plant phenotyping, transcriptomics, proteomics and modelling
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predictive algorithm of School-age neuropsychological outcome will be developed combining radiomic model of brain development, with qualitative neonatal MRI findings. Achievement of the expected progression