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Field
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experience and profile MSc in artificial intelligence, statistics, computer science or a related field; Strong background in machine learning and/or statistics; Preferred prior knowledge/experience with
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the security domain, in combination with complementary data collection, processing and communications technologies; assessing EO science and application developments (including data analytics and artificial
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AI-based Cybersecurity Automation. We are seeking a highly motivated researcher to advance research on cybersecurity automation through artificial intelligence applications, with an emphasis
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Wynants, working with clinicians, statisticians, epidemiologists, health economists and data scientists. Clinical prediction models and Artificial intelligence (AI) can support diagnosis and prognosis, and
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intersection of Artificial Intelligence and Cybersecurity. As our scope expands rapidly, the Cybersecurity Group (CYS) at TU Delft Computer Science Department has an opening at the Assistant Professor level. For
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. The main research themes are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative
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) Master's degree in a socio-technical programme, such as: (Applied) Data Science, Econometrics, Artificial Intelligence, (Computational) Social Science, Human Computer Interaction. Experience with at least
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, and understand security? Do you want to work in close collaboration with our colleagues in system security, software engineering, and artificial intelligence? Then, please apply for this Assistant
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understanding of how artificial intelligence can foster sustainable development, for instance in the domains of education, farming, saving/investing, entrepreneurship and health, with a lot of scope for your own
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close collaboration with other discipline experts, such as software, microelectronics and applications engineers. * except for RF payloads. ** including artificial intelligence and machine learning