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Field
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
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fundamental research on Event-based Model Predictive Control; Monitor the work plan of her/his individual research project and make sure that milestones are achieved and deliverables are finalized in a timely
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), photoplethysmogram (PPG), Electrodermal activity (EDA), and contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies
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, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even predict the occurrence of clinical adverse events like
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-Sepsis Model of Care that supports and improves outcomes for children and their families in the weeks, months, and years following this devastating illness. Despite increasing recognition of the long-term
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candidate will be responsible for the full range of activities related to the development, testing, and evaluation of the learning models. They will also receive support from LOA experts for the execution
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that lead to lower infrastructure demand in the long run and reveal pathways to turning points in infrastructure use through a systemic modelling approach. Essential activities within your project will be
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(Probability, Statistics and Modeling Laboratory, CNRS-Université de Lorraine), EDF (Electricité de France), and Fives-Prosim. This doctoral program focuses on generative models for energy cycles. Its main
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interplays that lead to lower infrastructure demand in the long run and reveal pathways to turning points in infrastructure use through a systemic modelling approach. Essential activities within your project
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), IBPS, Sorbonne Université. The team possesses expertise in developing application-specific microfluidic models that integrate desired mechanical conditions of fluid flow and substrate viscoelasticity