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Range (NCR). The research aims to investigate how cascading cyber effects can be represented and executed across interconnected digital environments, including both IT and Operational Technology (OT
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learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems. Are you motivated to take a step
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, SWEL. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research, participation in national and international research environments
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an understanding of the interaction between human operators, technology and operational conditions. The project must maintain a clear connection to maritime operational technology and operational environments
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methods, and structured unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning, computational statistics, and
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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international professional environment. Career guidance and follow-up during the PhD period . Open and inclusive working environment with committed colleagues. Working capital that can be used to implement
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and conferences. Actively participate in and develop the collaboration between NTNU and Norsk Regnesentral. Contribute to a constructive and inclusive research environment. Required selection criteria
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to explore how bridging adaptive planning and human-centred design can make climate change adaptation equitable and inclusive. You will be part of a vibrant research environment, specifically anchored
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candidate for a full-time PhD position in Advanced Physical Security of Embedded Systems. You will become part of an active and interdisciplinary cybersecurity research environment and have the opportunity