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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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decentralized machine learning in 6G networks, and design machine-learning algorithms that can handle the network imperfections that remain impractical to resolve at the physical layer. The focus of the research
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decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real-time information exchange across
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of social media trends, algorithms, and audience behaviours. Comfortable working with multiple stakeholders in a complex environment. Strong organisation and time management skills. A team player who
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studies of human movement. Functions to be developed: Develop algorithms to analyze human movement tracking data. Capture movement with Xsens. Write research articles. Where to apply Website https
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to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare
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, finger, and multimodal) under controlled and semi-wild conditions. Develop AI-based algorithms for biometric trust assessment, anti-fraud analytics, and secure onboarding. Lead the deployment and
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the next five years. SURE-AI is a Norwegian AI center funded by the Research Council of Norway (2025-2030). The primary objective is to create a new generation of algorithms for inference and decision-making
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. The aim will therefore be to define an algorithm for calculating these indicators and to implement it in the GeoClimate software. To a lesser extent, the recruited researcher will participate in
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novel cryptographic algorithms. Contribute to project documentation and the dissemination of research findings. Author and co-author scientific papers for submission to top-tier journals and conferences