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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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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
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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
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research at the interface between biophysics, biomedicine, and computer science Simulate molecular dynamics of ion channels Predict variant-specific protein structures using AlphaFold Co-develop machine
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will be part of the Institute for Lifespan Development, Family and Culture: https://www.uni.lu/fhse-en/research-groups/institute-for-lifespan-development-family-and-culture/ Responsibilities: Obtaining a
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) Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable, systems development experience is an asset Hard
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The topic of the PhD will be related to research carried out in our group, focusing on questions of lifespan development, views on aging, ageism, preparation for old age, health and well-being, as
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use by the group employ multiple-input multiple-output (MIMO) technology and can be connected to build a distributed and cooperative network. To develop signal processing techniques, the group
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& Applications. The "Technical Standardisation for Trustworthy and Sustainable ICT, Construction, and Aerospace" research programme represents a strategic collaboration between Luxembourg Institute
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As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected projects in Quantum Optimisation, People-Centred Design (PCD