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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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-environment-climate public goods (AECPG). By combining insights from results-based, collective and spatially targeted schemes with novel financing and robust monitoring, REWARD seeks to build scalable models
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the development of bespoke solutions for cancer imaging based on spatial analysis and kinetic modelling techniques. This strand would involve adapting in-house models for Positron Emission Tomography data to other
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
and clinical characterization among the main objectives. One key aim of the group is to further the development of bespoke solutions for cancer imaging based on spatial analysis and kinetic modelling
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. The sectoral project KINETICS will explore methods to couple long-term integrated assessment models (IAMs) and spatially and temporally granular energy system models (ESMs) bidirectionally, allowing us to
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prior work on wastewater samples or water analysis, experience in plant culture and growth, synthesis of quantitative and qualitative data, scholarly review and compiling datasets; statistical and spatial