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modeling with deep learning for the analysis of hyperspectral imaging data. The researcher will be responsible for the design and development of numerical models, including neural network architectures
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UMR 6524, Clermont-Auvergne University. Collaboration with the IMFT (Institute of Fluid Mechanics, Toulouse) for the numerical modelling. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6524
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 19 hours ago
) at the IT4Innovations, at the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for studying MATERIAL PROPERTIES OF MAGNETIC MATERIALS by means of the spin
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and numerical models as well as constitutive model calibration and validation based on physical experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering
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historic masonry quay walls. Join TU Delft to build more resilient cities. Job description We are looking for a Postdoctoral Researcher to advance the numerical modelling of historical masonry quay walls
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of electrochemical effects into numerical and theoretical models describing the flows within LMBs. These flows, driven by magnetohydrodynamic or thermal phenomena, can become unstable and lead to a short circuit of
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centrifuge experiments. Integrate findings with numerical models for validation and deeper interpretation. Develop innovative experimental apparatus (SolidWorks proficiency is a plus). Disseminate results
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modeling of polymeric, reinforced, and porous materials, with strong expertise in large deformations and numerical homogenization. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7649-JULDIA
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. The project involves numerical modeling to investigate the physico-chemical processing of radioactive iodine emissions as they disperse in the atmosphere. Understanding these processes, and especially
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temporal laser pulse shaping, together with accurate modelling of the underlying beam physics, is therefore a key prerequisite for fully exploiting the XFEL's potential. Dedicated numerical and experimental