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Field
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selectivity in AS-ALD, as well as the factors leading to degradation and loss of selectivity. To achieve this, it is critical to establish a reliable methodology for training and validating of underlying MLIPs
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decisions, and to study how agentic reasoning can navigate trade-offs between interpretability, statistical reliability, and computational feasibility – and to develop principled criteria for when a given
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Are you interested in shaping the future of intelligent and secure computing systems where artificial intelligence meets reliable embedded hardware? We are looking for a motivated PhD candidate, as
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solutions that combine low energy consumption with reliable and safe operation in compliance with relevant standards and regulatory requirements. A key scientific challenge addressed in this project is the
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and purely data-driven methods, which often lack robustness, interpretability, and reliability in uncertain and noisy conditions. To overcome these challenges, the PhD will explore multimodal sensor
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as: How can AI systems reliably identify implicit and evolving forms of misogynistic discourse beyond explicit hate speech? What computational measures can be developed to detect misogyny, benevolent
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required. Structured, reliable, and motivated to contribute to all phases of a research project. The purpose of the recruitment position is for the candidate to achieve a PhD during the fellowship period
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to build and characterise these DNA devices. The project will also explore optimisation methods to improve reliability, scalability, and performance in complex nucleic-acid-based systems. The student will
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between 1990 and 2016. As cities expand and urban heat intensifies, efficient and reliable cooling infrastructure becomes critical. Yet current systems suffer from persistent challenges: design oversizing
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for Quantum Communication Networks and Applications (QCNA ) is a Norwegian research centre with partners in Scandinavia and Japan. Its goal is to design secure and reliable quantum communication protocols and