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1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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: 01.09.2026 For practical information about working at NTNU, please visit this webpage. The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with
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studies have highlighted vulnerabilities in learning‑enabled CPS, demonstrating that small, carefully crafted perturbations can cause unsafe or malicious behaviours. However, much of the literature focuses
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. You have excellent English language skills. You have notions of Dutch, Finnish or Italian, or are willing to acquire these. You pay attention to details and act with attention to quality and integrity
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
DFKI, with a specific focus on the data, alignment, and representation-learning foundations required for robust and generalizable sign-to-text translation. Motivation and context Sign languages
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. Application deadline: 20.08.2025 For practical information about working at NTNU, please visit this webpage. The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech
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, currently of around 200 000, and is known as the tech capital of Norway . The Norwegian welfare state, including healthcare, schools and kindergartens, is among the best of its kind in the world. Professional
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machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a biological reference point for identifying disease-specific biomarkers. A central part of the