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constitute the core objective of the proposed PhD project. Expected contributions of the Thesis Model realistic multi-orbit/multi-operator SatCom scenarios; Design AI/ML-based prediction models for mobility
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geometries and process-induced defects demand new inspection approaches. The project combines modelling, sensor fabrication, experiment, and data analysis. You will work with a team of experts to develop
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 27 days ago
intelligence is growing at a fast pace, the bulk of the world's computing power remains targeted at modeling and predicting physical phenomena, such as climate models, weather forecasting, or nuclear physics
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to strategic initiatives through advanced analysis, forecasting, and predictive modeling that enhance access to, confidence in, and effective use of institutional data across the College. Kellogg Community
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fundamental physical model to understand the process of fire spread for wildfires, as part of the European Research Council grant FIREMOD: (https://cordis.europa.eu/project/id/101161183 ). This is a full-time
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for predictive modeling scenarios, causal modeling is also within the scope of the position. The position is embedded in the ten-year gravitation grant Stress in Action, funded through NWO (Dutch National Science
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time. In this project, we propose a method for identifying and classifying such emerging asynchronous trends. The goal is to be able to predict how a new emerging trend will develop using similar
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highly motivated PhD student to develop advanced models for predicting the fatigue life of additively manufactured steel in nuclear reactor water environments. The project focuses on modeling corrosion
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET