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information technology and software engineering. The areas will be complementing each other to make way for the engineering of the next generation of reliable, intelligent and interactive software solutions. This includes
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1
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we expect MSc. degree in physics (ideally in condensed matter, materials science, or a related field) Reliability, adaptability, and hands-on experience with experimental work Natural curiosity
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conferences and publish findings in peer-reviewed journals Your Profile: A Master’s degree in chemistry, materials science, chemical engineering, or a related field Desirable background in electrocatalysis and
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technology Qualified support through your scientific colleagues The chance to independently prepare and work on your tasks The possibility of (location-) flexible working, e.g. home office A large research
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Materials Science and engineering or chemistry or related subjects such as corrosion science and engineering. Masters in electronics engineering with prior experience on humidity/corrosion reliability
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and emerging applications, such as multi-domain autonomy and aerial mobility. With rising risks to PNT systems from interference, spoofing, and cyber-physical attacks, unified, security-aware integrity
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. These advances can deliver system-wide benefits, including lower operation and reserve-procurement costs, higher reliability and security of supply, more efficient markets, consumer savings, and faster renewable
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data