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objective function (eg, approximation error). A key question is to devise an algorithm that organizes the operators into a sequence, such that the best operators (low cost and high benefits) are performed
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trauma surgery, affecting approximately 10.3 individuals* per 100,000 inhabitants each year [1]. They represent a significant public health issue due to the high costs associated with dependency and
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maintain scalable and high-performance software solutions Implement frontend applications using a modern JavaScript framework (React or Vue.js) Containerize applications using Docker for consistency across
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Europe, and contributing to innovations that enhance healthcare and medical research. As part of the IDERHA development team, you will: Design, develop, and maintain scalable and high-performance software
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enabling trustworthy AI adoption through methods and tools for compliance, readiness, and performance evaluation. In the field of Smart Cities, we lead the operations of the CitCom.ai project. CitCom.ai is
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with high dimensionality: Computational difficulties linked to the high dimensionality of the underlying tensor approach have been tackled in [GOU20] by undersampling the measured AF ECG signals
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mathematics for Grade 1 in the frame of the Luxembourgish School Monitoring Programme - Épreuves Standardisées (ÉpStan). At LUCET, you will work in a collaborative and research-driven environment, contributing
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
. The starting point will be the microstructural databases of the BIA where different properties (tissue structure, cellulose content) will serve to establish scalar links to predict very early the performance and
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Keywords Digital twin, signal processing, AI, operating room, risk management, healthcare improvement. Context Surgery represents a strategic area for improving practices with high potential
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, copyrighted, or biased. By studying brain data recordings and building computational models that mimic real populations of neurons, the project aims to uncover active unlearning: how the brain learns