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-individual variability in model parameters to enable the generation of virtual patients, predict dynamic hormone profiles in healthy individuals and in patients with adrenal insufficiency, predict dynamic
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on the integration of BIM, artificial intelligence and predictive maintenance (PM) for intelligent BIM models, digital construction sites, predictive analysis and immersive interactions, outlining an operating
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commercial and open source cloud computing platforms designed to support the development of predictive analysis models. In addition, he/she will design and implement backend and frontend software
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Description --- Position Description: Drs. Furtado and Cavallo are recruiting a motivated undergraduate student, to begin in Spring 2026, who is interested in improving the prediction of atmospheric blocking
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of developing a digital twin model of renewable energy generators”, 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), DOI: 10.1109/ISIE.2019.8781529 [4] https://uk.mathworks.com
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and difficult to anticipate. Predicting the spatio-temporal dynamics of these changes generally relies on empirical models, most of which project correlational relationships between species occurrences
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Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a Predictive Model” project financed from the funds of Priority 2 of the European Funds for a Modern Economy Program
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signaling models”. The scholarship is full-time for 2 years, with access starting in May 2026 or by agreement. The research will be carried out in the laboratory of Cemal Erdem at the Department of Medical
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Montpellier, Languedoc Roussillon | France | 25 days ago
. Understand and predict the links between the structure of thermoplastic polymer-based materials, studied on different scales, and their function during production, use, and post-use cycles to quantify