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Field
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. Furthermore, a novel predictive algorithm of School-age neuropsychological outcome will be developed combining radiomic model of brain development, with qualitative neonatal MRI findings. Achievement
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2030 program (see https://www.pepr-risques.fr/fr/programme-de-recherche-risques-irima ). IRIMA is led by CNRS, Grenoble Alpes University and BRGM, and aims to structure and strengthen hazard and risk
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Modeling Core is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https://imci.uidaho.edu
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of the North American Ice Sheet Complex forebulge. The candidate will calculate misfit values between the statistically modeled RSL and glacial isostatic adjustment (GIA) model predictions of RSL to identify
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dataset generation technique to optimize the training of neural networks (NNs) for seismic data prediction. The use of neural networks to predict seismic velocity models has shown increasingly accurate and
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exploring the evolutionary trajectories of energetic frustration from ancestral to extant proteins, combining ancestral sequence reconstruction, structure prediction, and statistical energy models
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spectroscopy, especially applied to the analysis of lipids or oils. Experience in the application of chemometrics to develop predictive models Participation in competitive research projects related to the field
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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for a truly circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research
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award to Dr Darren Fayne “Mapping the human pocketome - using pharmacophores to enable drug discovery applications”. This project will model the 3D structure of all human proteins, identify plausible