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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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Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support
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, funded by the European Commission’s Horizon Europe programme. You will be based in Brussels, Belgium and will enroll as a PhD student at Vrije Universiteit Brussel (VUB). The main line of research will be
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student to join Flanders AI Research Program. Our team focuses on developing new technologies for handling veracity in computational and artificial intelligence with diverse applications in decision making
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to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus
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the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost
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(involving, e.g., computer programmers and data scientists, military startups, technology firms) and how it leads or has led to new and compounding forms of civilian harm in Ukraine and Gaza. It is co-led by
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the acquisition of a doctoral degree. The research programme of these individual researchers will be integrated into a set of 8 work packages that include the participation of 16 highly-reputed European academic
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in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with
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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