10 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at Nature Careers in Belgium
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equivalent in Computer Science, Informatics, Software Engineering or a related field The ideal candidate should have some knowledge and experience in a number of the following topics: Software Cybersecurity
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Engineering, Communications Engineering, Computer Science, or a related field, with a focus on wireless communications, signal processing, radar/remote sensing or space systems Several years of relevant
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, or computational approaches is desirable. An interest in topics such as startup dynamics, technology adoption, or the broader implications of digital transformation for entrepreneurship is of particular relevance
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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technology events. Your profile The candidate should have: A MSc degree (or equivalent) in Cybersecurity, Computer Science Interest in security research and/or security engineering Ability to work in a
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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competitive research in line with expectations for the respective career stage. PhD in Computer Science, Mathematics, or Engineering Research expertise in trustworthy and sovereign AI, demonstrated through
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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, and technology-is a strong asset The successful candidate must commit to lecturing banking law, as well as related topics in financial and commercial law, at bachelor and master levels. The successful
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undergraduate and/or master's levels. This may include, for example, core contributions to courses in applied econometrics, machine learning, computational economics, and big data analytics. In line with the