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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre...
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre...
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Digital Transitions in the Single Market. Being part of the project will allow the doctoral researcher to enhance the knowledge-base and experience; working on the various aspects of the project will not
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Technology. MICRO-PATH addresses research questions based on causal and mechanistic studies of microbiome-mediated pathogenesis. The vision of the MICRO-PATH doctoral training unit is to tackle
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introduce new challenges in design and control. Their development is still largely bio-inspired and trial-and-error based. Integrating flight and actuation control in SAMs is particularly complex. DOMINANTS
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following missions based on the main following objective: to establish a conceptual framework to integrate ‘’digital accessibility’’ within ‘‘physical accessibility’’ measures, resulting in “hybrid
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preparedness (e.g., via game-based training interventions using AR/VR). The candidate will have the opportunity to develop their research project and to engage in interdisciplinary scientific work with the
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the development of the rule of law in the Global South. Being part of the project will allow the doctoral researcher to enhance his/her knowledge-base and experience; working on the various aspects
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mentoring.Your roleIn this context, the successful candidate will have the following missions based on the main following objective: To formulate the concept of ‘accessibility biographies’ as a thread to evaluate
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid