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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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stakeholders Process integration & optimization; root-cause/failure analysis. Reliability mindset (design/interpret thermal & electrical stress tests). Collaboration with tool vendors/industry partners; concise
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Bianculli, and will report to Prof. Fabrizio Pastore (principal investigator for MORTAL). The team focuses on the development and design of reliable, safe, and secure software systems, carrying out both
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep
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testing and analysis. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv The position holder will be required to perform the following tasks: Carrying out research in
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Applications: Preferred Additional Knowledge, Skills and Abilities: Laboratory supervisory experience, experimental design and data analysis experience, manuscript and grant writing Email to a Friend https
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modelling and rare-event analysis. University of Trento (Italy) to link UQ models with meta-material configurations and nonlinear dynamics. University of Granada (Spain) for coupling reliability analysis with
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efficiency across teams—while ensuring systems are robust, reliable, and secure. Essential Functions Perform security assessments and penetration tests on web applications, APIs, and internal tools used
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 11 days ago
Description This project enhances Earth observation data cubes by improving two key processes: image coregistration and fuzzy classification. Accurate data cubes require precise spatial alignment and reliable