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trustworthiness, efficiency, and transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more. For more information, you may refer to
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entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/ . The person will: Conduct cutting-edge research across software engineering
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-tuning, multimodality, MLOps, and model management. Ability to optimize AI models under energy and memory constraints. Experience applying AI across diverse domains (health, mobility, cybersecurity, energy
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to the sustained development of the Internet by providing cost-effective cybersecurity and privacy technologies. This will equip IoT infrastructures with the necessary protection levels for the sustainable
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systems (e.g., mobile), business or entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/ . The person will: Conduct cutting
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transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en
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for developers, allowing them to achieve trustworthiness, efficiency, and transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and
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Sparebankstiftelsen Hedmark and Sparebank 1 Østlandet in collaboration with NTNU and industry partners. SAFE aims to develop, test, and demonstrate innovative anti-fraud and cybersecurity technologies, focusing