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Field
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"Deprescribing Safety in Primary Care: developing a Community Pharmacy Safety Net and Feasibility Study," aims to establish patient and professional networks to support the development of a future feasibility
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vehicles navigating shared road networks, AI agents coordinating in complex games, and human-machine partnerships in online platforms, AI assistants, and physical systems. While multi-agent interactions have
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research organization; affinity with complex data analysis and modelling tools the ambition to increase your and our scientific visibility via publications and presentations; a result-oriented and reliable
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, and artificial intelligence meet to address complex environmental challenges. About the Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops
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dozen input variables). The foreseen approach would be to build on recent developments in using CNNs for Species Distribution Models (e.g. Deneu et al 2021, Morand et al 2024) to summarise the complex
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: Otaniemi Campus, Espoo, Finland Join a cutting-edge research environment where architecture, landscape architecture, and artificial intelligence meet to address complex environmental challenges. About the
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models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing
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manage complex projects to completion on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information Benefits A meaningful job in a
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address complex environmental challenges. About the Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies
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The post-holder will join a team of investigators working on the NERC-funded Pushing the Frontiers grant ‘Influence of complex source and environmental source conditions on eruptive plume height