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with experts in AI, healthcare, and industry. Job requirements A master's degree (or an equivalent university degree) in Computer Science, Mathematics, Machine Learning or a related technical field
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link to your master thesis if available. In case you are currently writing your master thesis, a short description of the project. We look forward to receiving your application and will screen it as soon
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one of the most successful faculties in the Netherlands in the field of research in collaboration with industry. Currently, the faculty has approximately 1200 Bachelor and Master students and more
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properties suitable for developing ONN network arrays. The primary focus will be on investigating 2D Field-Effect Transistor (FET) devices to develop relaxation oscillators and 2D memristor devices
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and Computer Science offers a broad spectrum of bachelor and master courses addressing various aspects of software engineering, ranging from basic programming to design of modern large scale software
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group of Jom Luiten, and the group of Klaas-Jan Tielrooij, which recently moved to Eindhoven. We offer excellent primary and secondary benefits, a highly innovative and prospering academic ecosystem, and
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, workshops and master classes; Consortium formation in the field of Artificial Intelligence, including financing from the business community and research subsidy programs; Exploring new research ideas and
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a fully-funded 2-year position to master graduates leading to the award of an EngD (Engineering Doctorate) degree in Conversational AI in Dementia Care. This position is in the context of the project
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a master in Computer Science or Biomedical Engineering/Imaging. Expertise in the field of diffusion magnetic resonance imaging (dMRI) and tractography is a plus but not mandatory. You have good
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of the future, both at the bachelor and at the master level. You will (co-)develop and teach courses and projects in English. Your expertise is in the field of structural design for buildings and infrastructure