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Job description You will design, manufacture, test and validate two smart material systems/demonstrators: (i) a catheter for invasive surgery with shape and property morphing and (ii) an assistive
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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learning, and cancer genomics, with opportunities for workshops, seminars, and conferences. Hands-on exposure to translational R&D, and IP development in a biotech setting. A dynamic, innovation-driven
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You work at the Wenckebach Institute for Education and Training (WIOO) of the UMCG, within the Lifelong Learning, Education and Assessment Research Network (LEARN). The UMCG is the largest employer
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
both industry and academia. They will develop advanced expertise in experimental design, composite materials testing, and non-destructive evaluation, alongside practical experience in machine learning
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authorities. École des Ponts ParisTech, in accordance with its strategic plan, develops a long-term research activity in the field of Machine Learning and Computer Vision. The IMAGINE team is a renowned
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you like to work at the intersection of transportation, robotics and machine learning
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expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance