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associated with the Center’s work package WP4 – Topology, Algebra, and Geometry for Complex Data Analysis. The Lie-Størmer Center is jointly hosted by UiT The Arctic University of Norway (UiT) and the
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advanced visual perception methods for reliable object detection, scene understanding, and interaction under adverse environment conditions. The goal is to enable fully autonomous execution of complex
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that may not fully reflect the complex flow conditions present in individual patients. This project aims to improve the assessment of aortic valve disease through the development of patient-specific
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attributes, and addressing the challenges of subgroup fairness, such as computational complexity, statistical reliability and data sparsity for fine-grained subgroups. Jarli & Jordan/ UiO via Unsplash Jarli
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independently on complex projects, from planning to presenting results The ability to work precisely in a structured manner and swiftly adapts to new tasks Positive attitude and the ability to handle hectic
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to develop resilient coordination architectures for networks of autonomous maritime robots operating in complex and communication-constrained environments. The research will investigate how heterogeneous
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an increasing need for sustainable health services for individuals at risk of frailty, or living with frailty. Frailty is a complex age-related condition characterized by cumulative decline across
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computing models (non-von Neumann architectures) as a Methode for quantifying computational properties based on emergence and complex dynamics in nanomagnet systems. Nanomagnet metamaterials, Artificial Spin
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computing models (non-von Neumann architectures) as a Methode for quantifying computational properties based on emergence and complex dynamics in nanomagnet systems. Nanomagnet metamaterials, Artificial Spin
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attributes, and addressing the challenges of subgroup fairness, such as computational complexity, statistical reliability and data sparsity for fine-grained subgroups. Jarli & Jordan/ UiO via Unsplash Jarli