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Machine Learning (ML) models, including automated testing, reproducible builds, controlled release strategies, and governance workflow integration. Build and manage containerized infrastructure on AKS
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models of the various equipment/tools of an agricultural machine, and virtualisation of their use in the field - Determination of the control logic to be implemented on the platform (proportional valve
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experiments in particle physics. Join Us! We are seeking a PhD candidate under the supervision of Jordy de Vries who focusses on precision calculation for low energy searches for beyond the Standard Model
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. • Design, implement, and rigorously evaluate novel AI models and algorithms for multimodal inputs. • Build robust pipelines for data curation, preprocessing, and quality control for noisy, imperfect, and
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-phase diagnostics working with catalytic materials such as metal and oxide surfaces, including polycrystalline samples analyzing and interpreting experimental data developing measurement and control
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of central venous pressure (CVP) remains challenging in both space and clinical settings. This PhD project aims to develop and validate a non-invasive ultrasound-based method to estimate venous pressure using
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Systems and Control division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation of dynamical
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-driven methods provide excellent performance under low or cyclo-stationary regimes but struggle with highly dynamic and rapidly varying conditions; conversely, model-based state observers ensure robustness
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Débarre at the Lab. for Interdisciplinary Physics in Grenoble and of Dr Sigolène Lecuyer at the Physics Laboratory at ENS Lyon. You will be based principally in Grenoble, with secondments in Lyon and other
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inhaled biotherapy based on extracellular vesicles derived from mesenchymal stem cells (MSC-EVs), capable of modulating the inflammatory and fibrotic processes involved in chronic respiratory diseases