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may refer to https://www.uni.lu/snten/research-groups/sigcom/ . The successful candidate is expected to assume a leading role in advancing research and experimental work focused on software-defined
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candidate is expected to assume a leading role in defining and scientifically contributing to projects at the intersection of software-defined networking (SDN), software engineering, and quantum
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, Disability, and Women's networks. Library Access - Staff have access to books and resources at our onsite libraries. Staff Scholarship Scheme - Funding for part-time higher education, up to PhD level
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) under this scheme. With a PhD or near completion or other relevant post-graduate research qualification, the fellows will be creative, enthusiastic and have experience in relevant research, methods and
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academic and industry partners. Your profile The candidate is expected to have a PhD in Computer Science, Electrical Engineering, or Quantum Technologies, with a focus on software-defined networks, advanced
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advancing research and experimental work focused on software-defined networking (SDN), network function virtualization (NFV), and container-based network architectures. The ideal candidate will possess not
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environment and impact with the QR funding allocated for the Faculty of Arts, Business and Social Sciences (FABSS). The plan is to support 0.6fte post-doctoral research fellowships under this scheme. With a PhD
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novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg
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Networks, and ICT Services & Applications. Your role The successful candidate is expected to take a leading role in defining, acquiring, managing, and scientifically contributing to projects around AI
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of data at high luminosity (after Upgrade-2), participation in coordination of activities in software groups or data analysis groups, coaching of PhD as an auxiliary supervisor on machiner learning, new