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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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28 Sep 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry - BMC
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learning, automatic control, computer vision, deep learning, and software engineering. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's
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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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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 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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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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effort supported by the Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg AI, Autonomous Systems and Software Program (WASP), a WASP-WISE NEST. This interdisciplinary setting
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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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Materials Science for Sustainability (WISE) and Wallenberg AI, Autonomous Systems and Software Program (WASP), a WASP-WISE NEST. This interdisciplinary setting provides a unique opportunity to work at the