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Field
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coordinated by Andra on nuclear waste management. The aim of the study carried out at IJCLab is to develop an innovative method for managing metallic nuclear waste in the form of scrap and powder
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structural health monitoring of structures immersed in heavy fluids, by continuing to develop the “Modal Strain Energy” and “Matched Field Processing” methods for detecting and locating a potential defect in
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interdisciplinary building on both technical and social sciences using a range of quantitative methods. The division has around 50 staff members, faculty, and PhD-students with diverse expertise including engineers
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work focused on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and
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dissemination in the field of contemporary history with a particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting
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and computational methods available at IJL, in tight collaboration with industry. The contract is for 18 months. The project is funded by ArcelorMittal Industeel, CEA, and Framatome. Responsibilities
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experience independently planning and completing projects. Hands-on experience with state-of-the-art experiments on contemporary quantum hardware platforms. Experience with numerical algorithms (e.g., tensor
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of application development techniques (numerical methods, solution algorithms, programming models, and software) at scale (large processor/node counts). A record of productive and creative research as proven by
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projects. Hands-on experience with state-of-the-art experiments on contemporary quantum hardware platforms. Experience with numerical algorithms (e.g., tensor networks) for simulating quantum computer
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in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two decimal places. 6.3 — The jury deliberates by vote justified according