16 computer-science-programming-languages-"Prof"-"Durham-University"-"Prof" positions at Nature Careers in Belgium
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to gather requirements and report findings. A key aspect of the role involves implementing and open-sourcing proof-of-concept software tools, alongside collaborating with other researchers within the program
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should hold an MSc degree (or equivalent) in Engineering, Physics, Computer Science, Electrical Engineering, or Quantum Technologies, preferably with a focus on quantum communications or quantum
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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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and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ Candidates will be enrolled in the PhD program in Computer Science
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-en/research-groups/apsia . The candidate will pursue a doctorate in computer science with a focus on the migration to Post-Quantum Cryptography (PQC) while collaborating with the Ministry for
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reviewed scientific publications Your profile Master in Computer Science. Major in machine learning or software engineering is an asset. Strong programming skills. Strong analytical skills. Industry
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for standardised threat intelligence sharing Participate in project reporting, dissemination of results, and meetings with our project partner Your profile A Master's degree in Computer Science/Engineering or a
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conferences, and disseminate results through scientific publications in IS journals and at conferences. Your profile Master's degree in Information Systems, Business Informatics, Management, Entrepreneurship
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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
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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