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control schemes, embedded-model control, data-driven approaches and robust controller synthesis; Implementation of the selected control methodologies in the high-fidelity end-to-end DFAOCS simulator; Model
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: 87419BR The Clinical Research Coordinator (CRC) position exists to facilitate and ensure the successful execution of our clinical research studies, with a primary focus on an AI-driven project aimed
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, educational technology, learning sciences, education, or a related field; or an equivalent combination of education and professional experience. Extensive experience leading the design of complex online
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Data Engineers Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open Date
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Data Engineers Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open Date
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an emphasis on technology, data science and the humanities. The Nutrition, Metabolism and Health Programme is addressing one of the world’s most pressing healthcare issue: Over nutrition driven chronic diseases
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
. This involves theory but also the integration of observational information into models through data assimilation and model inversion. In this domain as in many fields of applied science, researchers face high
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economic and digital transition. This research will investigate how AI can unlock new business models, accelerate SME transformation, and create high-value, export-ready enterprises driven by AI (AIDEs
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feature maps and emerging quantum‑inspired or hybrid computational approaches to machine learning. Potential applications span time‑series analysis, dynamical system modelling, and the data‑driven study of
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hydrologic and hydraulic models (e.g., WRF-Hydro, HEC-RAS, OpenFOAM, GSSHA, Delft3D, EFDC, etc.). Data Engineering & Computational Workflows – 35% Curate, preprocess, and analyze large environmental datasets