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reliability (e.g., through formal methods) Experience in software development will be seen as an advantage. Preference may be given to candidates who develop themes complementary to research currently being
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paradigms Software reliability (e.g., through formal methods) Experience in software development will be seen as an advantage. Preference may be given to candidates who develop themes complementary
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systems, or formal methods and programming language research applied to security. The targeted application areas include, but are not limited to, security of cyber-physical systems, interactions between
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contact both, and Your profile PhD in Information Systems, Computer/Data Science, Software Engineering, Applied Mathematics, or a related field Experience in publishing high-quality research, as
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efficiency, but also to integrate disassembly, reuse, or recycling. Multi-physics applications, involving mechanical, electr(on)ic, thermal phenomena, etc. You will supervise PhD theses in your field
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to develop innovative methods and actionable tools for detecting, analyzing, and preventing vulnerabilities in supply chain systems, leveraging state-of-the-art AI and ML techniques to improve overall security
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-mentioned methods Provide guidance to PhD students Disseminate results through scientific publications Prepare research proposals to attract industry partnerships as well as national and European grant
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with privacy by developing techniques that optimize both aspects. The candidate will perform the work together with a team of postdoctoral researchers who are experts on the field and other PhD student
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projects Create project deliverables Your profile Master's degree in information systems, business informatics, business and management, computer science, software engineering, data science, or related
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assistance in the supervision of PhD students Your Profile... The candidate should possess a Ph.D. degree in Engineering, Computer Science, Applied Mathematics or affine. With a proven record of accomplishment