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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | 22 days ago
-scale (~10’s of km2) permafrost thermo-hydrological hybrid twin, to be coupled with state-of-the-art freezing/thawing soil mechanics machine learning-based surrogate models (Richa et al., 2024, Tristani
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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modelling, CFD modelling or BIM modelling for built environment applications is preferred. Knowledge in test instrumentation, PLC programming and cloud-based/IoT applications is preferred. Prior experience in
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Longitudinal neuroimaging analysis Programming in Python, R, and/or MATLAB Reproducible research practices and Git-based version control Preferred technical depth Neuroimaging software: FSL, FreeSurfer, ANTs
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Modeling and outputs. Implements Strategic Modeling governance, data-quality controls, and version-management processes. Leadership, Team Management, and Staff Development Directly supervise two Strategic
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developed the SPARCED pipeline to convert structured lists of species, parameters, and reaction types into an SBML (Systems Biology Markup Language) model file, and we created a model based on one
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principled new models and methods, for modern machine learning problems. Machine learning recently has been largely advanced by differential equation-based frameworks, such as generative diffusion models
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and collaboration across AI/ML, sensing, modeling, and control. A publication pathway spanning AI for science/instrumentation, process systems engineering, and control. Mentor programme as a new
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are looking for a postdoctoral researcher to be based at the University of Minnesota to advance hydrologic modeling of low-relief, peatland-dominated watersheds. Specifically, we are looking to implement a new
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+ years of experience with agent-based models or physics-based models 5+ years of experience managing a scientific team of 5 or more people 2+ years of experience working with a product management team to