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                programming languages and formal methods. Strong software engineering skills. Curiosity and agility to understand and navigate new technologies when applicable. Has an inclusive mindset and values good 
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                a balanced mix of AI with formal methods and testing techniques, we strive to make vulnerability detection more accurate, intelligent, explainable, and usable in practice. The project is cutting-edge 
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                minimizing the amounts of both false positives and false negatives. By combining static and dynamic analysis, using a balanced mix of AI with formal methods and testing techniques, we strive to make 
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                Opportunity for two highly motivated PhD candidates to join the Ombion project! Your job The Ombion project, formally known as Centre for Animal-Free Biomedical Translation, is funded by 
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                developing new explanation methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as 
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                Opportunity for two highly motivated PhD candidates to join the Ombion project! Your job The Ombion project, formally known as Centre for Animal-Free Biomedical Translation, is funded by the National Growth 
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                to have knowledge of discrete-event systems, and knowledge of or interest in learning about formal methods, in particular, the theory of Supervisory Controller Synthesis. PhD 4: AI-driven legacy system 
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                discrete-event systems, supervisory control theory, and formal methods to apply for the PhD position within the Supervisory Control group (see Group Supervisory Control ), which is part of the Control 
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                , such as financial reporting, management accounting, and sustainability, using state-of-the-art experimental, analytical, and archival methods. Our research group is highly ranked, has a strong international 
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                understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve