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-FNR PEARL Research Grant in the area of Information Systems Engineering, and, depending on interest, in fields, such as Generative AI & Machine Learning, Data Privacy, Cyber Security, Digital Identities
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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for Digitalization. This project aims to advance privacy-preserving techniques for data analysis and task automation, ensuring robust protection of sensitive information. The focus will be on developing
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Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with expertise in at least one of the above areas (dependability, real-time systems, operating systems) Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats...
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robustness assessment and attack/defense mechanisms. Expertise in software security and code analysis, with understanding of common vulnerabilities and software testing practices Proven research record with
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19 Mar 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile First Stage Researcher (R1) Application Deadline 18 Mar
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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of pathological protein aggregation Quantification of α-synuclein pathology Participation in single-cell RNA-seq and proteomic experiments Data analysis, figure preparation, and manuscript drafting Presentation
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Decision-Making (SerVal) group at the University of Luxembourg. SerVal conducts research in security and reliability in software engineering, with a particular focus on AI, data science, and decision-making
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud