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systems contain bugs and vulnerabilities which can be exploited by malicious actors. This project will be conducted in the Software Engineering and Security (SES) group. The PhD student will conduct an in
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, technology, animal health, and epidemiology. It consists of around 20 members, including PhD students, postdocs, senior researchers, a senior lecturer, and a professor, providing a stimulating and supportive
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requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning, data science, computer vision, computer science, applied
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. The research group collaborates both within and across disciplines, e.g. with experts in crop production, technology, animal health, and epidemiology. It consists of around 20 members, including PhD students
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malicious actors. This project will be conducted in the Software Engineering and Security (SES) group. The PhD student will conduct an in-depth investigation of a class of vulnerabilities and devise static
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the Higher Education Ordinance. To meet the general entry requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s
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We are searching for a doctoral candidate eager to take part in crossdisciplinarity work within battery technology for a sustainable future. This work will compose both theoretical and experimental
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the mobility, ubiquity, security, and interactivity of computers, data, software, and users. The pervasive computing paradigm enables technologies such as sensors, actuators, and computers to take a back seat