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hired either as a Post-Doctoral Researcher or a Research Assistant, based on their qualifications and level of experience. Applications are invited for researcher to work with UCC’s Offshore Renewable
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have a strong track record of high-impact publishing and have been funded with public and industry grants for health economics research in oncology. The role is funded by Research Ireland and is based in
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18 Months Fixed Term, Whole-time Post Please note that the successful candidate can be hired either as a Post-Doctoral Researcher or a Research Assistant, based on their qualifications and level of
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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. However, we know little about how mixed forests will function under future climates. In a novel field-based open-top chamber experiment, the Future Forests project is assessing the performance of tree
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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. Working within the research group of Dr Harriet Schellekens, the successful candidate will support the experimental and technical delivery of the project by conducting laboratory-based mechanistic studies
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the emergency department. Trained on evidence accumulated in clinical settings and based on the patient’s particular clinical history, the CDSS will provide clinicians with personalized risk profiles for relevant
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clinicians in the assessment and care of patients presenting with self-harm in the emergency department. Trained on evidence accumulated in clinical settings and based on the patient’s particular clinical
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the improved methods to explore trade-offs between power-based, biomass-based and carbon-removal-based strategies for decarbonising industrial feedstocks, shipping and aviation. Case studies would be used