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& Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame
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impact society to understanding where these impacts occur, how they unfold in real-world settings, and who may be affected. In Europe, these concerns have led to major regulatory developments, most notably
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to investigate how to design AI artefacts, including user interfaces and algorithms, through participatory approaches that actively involve stakeholders (e.g., technology designers and actors from
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to understanding where these impacts occur, how they unfold in real-world settings, and who may be affected. In Europe, these concerns have led to major regulatory developments, most notably the EU AI
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industry partners to develop new technologies supporting the objectives of the EU Chips Act. The project focuses on strengthening Europe’s capabilities in semiconductor technologies and intelligent computing
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the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, 2012, and again in 2023. Our Centre of Excellence, the Center for Algorithms in the Cortex (https
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within the Norwegian Center on AI for Decision (aiD), benefiting from broad and divers expertise, and strong industrial connections. The project will have theoretical and algorithmic developments, software
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical