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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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, or machine-learning frameworks is an asset Strong analytical skills with a solid understanding of data evaluation, modeling, and interpretation of complex datasets Ability to work independently as
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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in complex digital projects - Conocimientos en testing de usabilidad y análisis de métricas UX mediante herramientas especializadas (Maze, Useberry) // Knowledge of usability testing and UX metrics
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or spike correlation patterns limited to local neural circuits or span across brain regions? Set up a network model to reproduce the main results and provide potential neuronal mechanisms. Existing
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. They will review, clean, and analyze socio-economic data collected from farmers and commodity groups. Organizational Status This position reports to the ACARN Network Manager (a UBC staff position) and works
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the Faculty of Applied Science as well as medical trainees. Work Performed Research, develop, implement, and evaluate complex projects. Present findings and recommendations to the research team. Oversee and
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• To contribute and support research publications and presentations as required • To contribute and support research funding bids as required • To analyse and communicate complex ideas, concepts and data
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presentations as required • To contribute and support research funding bids as required • To analyse and communicate complex ideas, concepts and data using appropriate methods and packages • To resolve