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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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analytical tools including FTIR and Raman spectroscopy. You will help design and implement experimental protocols, analyse complex datasets using AI tools, and contribute to the preparation of funding
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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 project, Understanding health and well-being among farm women: A life-course approach, which is jointly led by the CRPR and the Farming Community Network (FCN). Through a combination of quantitative
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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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"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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domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run
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modelling and simulation of complex systems reinforcement learning or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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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