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for democracy, for people’s safety and the proper functioning of public (e.g., hospitals) and private institutions (e.g., banks). Effective cybersecurity requires expertise both in social and in technical domains
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ In particular, the successful candidate will be part of the Data-Driven Energy Transition NCER Project (D2ET
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ In particular, the successful candidate will be part of the Data-Driven Energy Transition NCER Project (D2ET
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triggering and exacerbating disease processes. Within MICRO-PATH, the Systems Ecology group at the LCSB has an immediate opening for a highly motivated and talented doctoral candidate to work on the resolution
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procedure law, ideally in connection with its European, international and interdisciplinary aspects. The doctoral researcher will be working under the supervision of Professor Stefan Braum. The thesis work
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Applications for a doctoral position are invited in the research project “Daily Affect Dynamics in Very Old Age Across Time: The Role of Vulnerabilities But Also Strengths” (PI: Anna Kornadt) funded
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for our employees and students. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Planned start date: October/November 2025 Location: Campus Belval
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translated into comprehensive regional action plans and guiding documents. Two solutions - one focusing on medicine use and the other on wastewater treatment - will be designed and developed to reduce
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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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: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Location: Campus Belval Internal Title: Doctoral Researcher Job Reference: UOL07280 The yearly gross salary for every PhD