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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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deficiency, the effect of supplementation on clinical outcomes will be tested together with the project partners. This particular project aims to develop more reliable methods to evaluate the micronutrient
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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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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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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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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust
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to clinical trials (including GDPR, Good Clinical Practice (GCP), Computer Systems Validation, ISO 27001 and ISO 9001). This role contributes to the reliable delivery of electronic data capture (EDC) systems
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appreciated. You have experience in applying statistical methods for the design and analysis of applied research in view of generating reproducible and reliable evidence for relevant questions. The ideal
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for analyzing biological specimens, ensuring the accuracy and reliability of test results, and maintaining compliance with regulatory and quality standards. Qualifications: Minimum Qualifications: Bachelor