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Vacancies Postdoc position on Data enhanced physical reduced order Models Key takeaways The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
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contribute to the development and implementation of cutting-edge AI solutions for real-time image-guided medical applications. You will work hands-on with clinical data and build robust deep learning
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cutting-edge multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic
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in this kind of environment will result in models too large to be handled and too instable to be solved. Data-driven approaches need to be used in addition to enrich the physics-based models
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, and implementation of these advanced materials. Information and application To apply, please submit your application before September 30, 2025, via the "Apply now" button. Your application must include
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use cookies and similar technologies to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and strictly analytical cookies
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) or PostDoc researcher to join our Industrial Engineering & Business Information Systems (IEBIS) section at the Faculty of Behavioural, Management and Social Sciences. This position allows you to contribute
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among leading institutions and industry partners across the EU, Switzerland, and the UK. Information and application Your reaction should include an application/motivation letter, emphasizing your
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of advanced materials. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before September 30. About the department The Interfaces and