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, including grades. Your PhD thesis. Starting date of the position: flexible, currently aimed to start around February 2026. For more information regarding this position, you are welcome to contact Dr. Silke
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding HR Excellence in Research Tenure Track PhD EngD
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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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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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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materials performance. Developing the understanding of the piezoelectric film structures and their functional properties using characterization techniques such as AFM, XRD, SEM and DBLI and detailed analysis
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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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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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) 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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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