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between government actors (e.g., county councils) and communities to determine the local development potential and reception of renewable energy projects in coastal areas, in line with key government policy
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regulatory decision-making around the implementation of these technologies. A key component of the work will involve developing an ex-ante economic model to identify cost-effective strategies for implementing
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social considerations, and ethical and legal issues. The findings will help inform clinical, policy and regulatory decision-making around the implementation of these technologies. A key component of the
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research project aims to develop a prototype of a Clinical Decision Support System (CDSS) software, designed to assist clinicians in the assessment and care of patients presenting with self-harm in
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data and simulating constraints, the tool will provide a comprehensive board of options to optimize the choice architecture for survivors, fostering their agency and informed decision making. Fixed
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the PERMANENS Consortium, and will report to the PI, Professor Ella Arensman. The PERMANENS research project aims to develop a prototype of a Clinical Decision Support System (CDSS) software, designed to assist
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and