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Field
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PhD student at ILL: studying In situ neutron diffraction for green steel and functional metal oxides
on an atomic level by using in situ techniques in order to deepen our knowledge on industrial processes (ore smelting) and to work out synthesis strategies for reduced transition metal oxides. Target compounds
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cardiovascular disease, chronic kidney disease, cancer and chronic inflammatory disease. For more information: https://www.cordis.europa.eu/project/id/101225380 Cardiovascular disease (CVD) is the leading cause
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vision is also highly appreciated. The candidate must also have strong programming skills (Python, C++) and experience with ROS / MC_RTC (preferred). About MAVRICS The PhD is a part of the activities
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reduction, to fully automatize the workflow at the ILL reflectometers. The integration of the ML module in the data acquisition and data processing ecosystem will enable real-time data analysis and will open
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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources
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experiments due to its large dynamic range. The aim of this project is to use Time Resolved Small Angle Neutron Scattering (TR-SANS) to understand the role of reorganization processes in the morphological
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
residual strain), but also by insufficient understanding on how LBP processing parameters generate these defects. In LBP repair, melt pool dynamics, thermal gradients and solidification behaviour are some of
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is accessible online: https://www.tec21.fr/phd-tec21 What we offer : 7 fully funded PhD positions with employment contract, competitive salary (monthly estimate net salary between 2 050 and 2 150 EUR
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-funded LEARN project uses high-quality, cross-national data and advanced analytical techniques to investigate the key processes through which major disruptive events affect children’s educational
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the ChirExCo project which aims to develop a multiscale modelling procedure to understand the origin of the chirality induction from chiral surface (e.g., helical silica) to achiral adsorbed molecules