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relevant state-of-the-art technologies. S/He will benefit from an active seminar program, international conference attendances, opportunities for professional growth. The project will be carried out in
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proper customization, fine-tuning, extension to include context- or time-specific information and above all how to make all the process as much as automated as possible to support the automatic analytics
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parameter set for quantum internet tasks. Is Your profile described below? Are you our future colleague? Apply now! Education · MSc degree in physics, quantum technology, materials science, or
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of Advanced Science (https://www.uni.lu/research-en/ias ) between the Integrative Cell signalling group and the Theoretical Chemical Physics group (https://www.uni.lu/fstm-en/research-groups/theoretical
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infrastructures and cyber-physical systems with the aim to protect our most sensitive and valuable assets. We look into systems in the small and how we can prepare them to withstand and operate safely and securely
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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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of computer science, cryptography. All positions are fully funded for up to 4 years. Candidates should have (at the beginning of the contract but not necessarily at the time of application) a Master's degree in
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The SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan ). We seek a candidate with expertise and/or interest in the following relevant fields: artificial intelligence and cybersecurity. The...
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will be employed at Doctoral level (PhD) at the Department of Computer Science of the University of Luxembourg (UL). She/he will be supervised by Prof. Dr. Christoph Schommer and is expected to conduct
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physical SAM. While INRIA Lille leads the control design, both teams will collaborate on use-case scenarios and real-world demonstrations to assess performance and future potential. The successful candidate