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manufacturing machines (looms, bobbinfeeders, ...) under dynamic conditions. Such simulations are very challenging due to the use of diverse materials (natural and synthetic fibers, yarns and fabrics) which
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” available. Project description The PhD position is part of ADD-reAM, a large multidisciplinary project focused on repair and remanufacturing using Additive Manufacturing. The NWO-funded consortium involves 15
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). The student will have an industry placement opportunity (up to 3 months) to gain experience and network with industry professionals. Student type Future Students Faculties and centres Faculty of Science
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leading energy materials researchers and industry partners. Ion-exchange membranes are key to electrochemical devices, yet balancing performance and stability remains a challenge. This project will develop
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as external academic and industry partners. Your profile You are a highly motivated and talented candidate with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a
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Erasmus MC (University Medical Center Rotterdam); yesterday published | Netherlands | about 2 hours ago
will accept with your supervisors, fellow technical-clinical PhD students, cardiologists, and industry collaborators. This project involves clinical implementation at Erasmus MC, technical development
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novel AI methods that make powerful models more transparent, robust, and usable in critical domains such as healthcare and smart industry. You will be part of a large national ‘Perspectief’ program
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collaborations among academia, industry, and public sector partners. For further details about the overall research project, please contact paul.wilmes@uni.lu .
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to develop novel AI methods that make powerful models more transparent, robust, and usable in critical domains such as healthcare and smart industry. You will be part of a large national ‘Perspectief
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autonomous systems for industry and society. Complex dynamical systems, such as semiconductor equipment, consists of many interconnected modules, which are functionally, digitally and physically interconnected