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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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conditions. Prepare comprehensive technical documentation, including design and test reports, control models, test results, and source code. Support technology translation activities, including transferring
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synthesis, mu-analysis and model-predictive control Experience in model identification, validation and uncertainty quantification based on experimental results Expert proficiency in the use of MATLAB/Simulink
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models indicate that the thermal structure of the European lithosphere remained stable during the Mesozoic, potentially due to small-scale convection at its base. To evaluate this hypothesis, the study
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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems
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(including ERG and OCT), development of additional functional assays, locally conducted histological analyses, and preparation of samples for collaboration with the Lyon-based team, including quality control
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, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models
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to the Institute’s needs. Requirements for candidates: Proven experience in advanced hydrological modeling (e.g., conceptual or physically based spatially distributed models), particularly with SWAT+, SWAT-MODFLOW and
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, generating insights that directly support evidence-based malaria control strategies. This position offers a unique opportunity to work at the cutting edge of vector genomics, contributing to a global effort to