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between Edge Aerospace SARL and the CritiX group at SnT to explore safety aware space computing systems for resilient information processing. The challenges we aim to address include withstanding
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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), sensing technologies (fiber-optic sensors, DIC), and computer science (machine learning tools). The aim of this Ph.D. project is to develop a novel bridge monitoring technique based on CLCE coating
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activities and promotes active contributions to international standardisation efforts. As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected
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will pursue a Ph.D. degree (Doctorate) in computer science or software engineering with a focus on differential privacy (DP) and other secure computing techniques while collaborating with the Ministry
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: www.esric.lu How will you contribute? As part of a new phase of growth for ESRIC, supported by the FNR PEARL programme “Solutions for the Sustainable and Responsible Uses of Space Resources”, we are seeking a
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, supported by the FNR PEARL programme “Solutions for the Sustainable and Responsible Uses of Space Resources”, we are seeking a PhD Candidate to join our dynamic team. You will be a part of the team focusing
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The Department of Finance at the University of Luxembourg invites students to apply for PhD-student positions in Finance. The program follows the standard international format with rigorous