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traffic management. Model and assess the integration of hydrogen and electric aircraft into European airspace and support the EU Green Deal net-zero emissions goals. Job description We are seeking a
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A funded PhD position at SDU Physics - Interdisciplinary research within experimental soft matter...
density on flat dishes can detach altogether and get complex shapes, depending on their initial orientation. By controlling the orientation, we can predict the final shape, in the same way that the folds in
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and with the 2AT team at Institut Pprime to develop an innovative jet-noise prediction tool. The researcher will develop a novel jet-noise prediction tool based on a resolvent analysis of the Navier
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
. The recent emergence of Multimodal Large Language Models (MLLMs) represents a promise of lower human intervention and easier deployment, but the consistency of their predictions under camera movements and
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validated algorithms. The objective is to identify sensorimotor signatures of fall risk that may improve current predictive models and contribute to the development of more targeted prevention strategies
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modelling. Therefore, significant efforts are being devoted to understanding possible mechanisms and their effective modelling, with the aim of predicting transport/reaction characteristics of foam materials
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sensing systems Design and validate machine learning models for predictive monitoring of physiological states Analyse large experimental datasets and quantify sensor performance (accuracy, robustness
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modeling to create a predictive tool that spans orders of magnitude in length and time. Hands-On Numerical Modeling: Implement your model in a custom-made data analysis tool that uses advanced optimization
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design strategies, while producing structured spatio-temporal datasets that will serve as input for realising predictive models. Objective 3 — Realize predictive tools for scenario-based assessment
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. Other data sources could be compiled to create climate analogues. 2) Develop a predictive model forecasting the future impacts of climate change on cardiorespiratory fitness in children and adolescents 3