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image analysis and AI pipelines. The successful applicant must be able to work collaboratively with faculty, research staff, trainees, external vendors, and institutional IT partners to support reliable
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, diversity schemes, and advanced receiver processing Developing simulation frameworks and performance analysis tools to assess link availability, reliability, and throughput under realistic operational
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rotation and pathogen treatments Cultivate and maintain plants in greenhouse conditions Monitor and document root growth throughout the experiment Sample plant and soil material for further analysis Support
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knowledge in reliability analysis. Strong knowledge of HV and LV power systems and protection Experience with power system analysis tools Strong safety mindset and clear technical communication skills Where
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with strong interpersonal skills, reliable, detail-oriented, creative, and have a strong record of research productivity. Key Responsibilities • Assist with laboratory management, organization, and
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character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy
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in field conditions. The samples can now be processed and analysed. We are looking for a motivated intern to work on the processing of root samples. The intern will learn and use root analysis methods
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team in DS, you will collaborate closely with Estates to ensure their integrated platforms—such as CAFM, Building Management, Access Control, and Document Management—are reliable, secure, and
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multiple access. The focus will be on the application of AI techniques, aiming at their reliable, robust, and effective integration. Requirements: - Experience with the Python programming language
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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