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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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of developing cutting-edge deep 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
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Vacancies Postdoc position on reinforcement learning on real-time image/video processing for medical robot Key takeaways In this role, you will be responsible of developing cutting-edge deep
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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
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achievements, technical hobby projects (photos/videos) and list of publications. A separate motivation letter stating why the proposed research topic interests you. (Optionally) (draft) PhD dissertation
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cooperation. Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their
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faculty? These videos will introduce you to some of our researchers and their work. Conditions of employment Duration of contract is 18 months Temporary A job of 38-40 hours per week. Salary and benefits
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video and get a glimpse of QuTech. Conditions of employment Duration of contract is 1 year, extendable to 3. A job of 36-40 hours per week. Salary and benefits are in accordance with the Collective
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rounds of interviews. The first interviews will be scheduled in the week of 20-24 October, 2025, per video call. The successful candidate would ideally be able to start working for Tilburg University