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this gap by developing a machine learning-based downscaling framework that links coarse resolution (0.25°-1°) reanalysis and climate model outputs to fine-scale (∼100 m) estimates of surface melt and
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, privacy, access controls, and metadata management. Strong working knowledge of cloud-based data and analytics ecosystems and modern data architectures (e.g., data Lakehouse, medallion architecture
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Simulation Environments, 3D objects, electronic navigation charts Full time, ongoing role based in Launceston About the opportunity The Centre for Maritime Simulations is looking for a Simulation Visual
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of the Systems and Control division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation
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+ model to a ‘flex-semester’ model in 2028. The University is now undergoing the planning and implementation phases to ensure a smooth transition for all staff and students by 2028. This is a project
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animal models and/or human subjects Job Responsibilities Prepares and maintains detailed records, logs and summary reports of all procedures and results including graphs, scientific calculations, and
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investigative procedures This role performs various assays, imaging experiments, and other technical duties to assist with the research activities of the laboratory and may be required to work with animal models
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OF THE PROJECT “within the scope of the DFence project – Dynamic Virtual Fences - Remote control and monitoring of free-range grazing, through a non-intrusive animal guidance system (NORTE2030-FEDER-01474400), co
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means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested
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Machine Learning (ML) models, including automated testing, reproducible builds, controlled release strategies, and governance workflow integration. Build and manage containerized infrastructure on AKS