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Field
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, develop robust defense mechanisms, and build the foundational frameworks for trustworthy AI. This is a unique opportunity to shape the future of AI security while working alongside world-class researchers
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. or - Holder of an academic degree enrolled in a non-academic degree course integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D
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, focusing on the development of culturally adapted digital health solutions for older adults from Indigenous communities in the Nordic countries. The position is full-time for three years. A start date as
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Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer Engineering. INESC-ID’s
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developed at the premises of Instituto de Telecomunicações – Lisboa, under the supervision of Professor Dr Mário Silveirinha. Duration: 12 months, with the possibility of renewal (according to the regulations
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degree enrolled in a non-academic degree course integrated with the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement
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: The AI-SSD project aims to research novel techniques to enhance secure software development through the use of generative AI. It will develop generative AI-based methods for attack/intrusion test case
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. The workplace is at UiT in Tromsø. You must be able to start in the position within a reasonable time after receiving the offer. The position’s field of research The research project will focus on the development
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able to start in the position within a reasonable time after receiving the offer. The position’s field of research The research project will focus on the development of antimicrobial compounds with
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project aims to research novel techniques to enhance secure software development through the use of generative AI. It will develop generative AI-based methods for code patching and test case generation