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- 
                Field
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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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                with GenAI; Collect and analyze data from students on their perception (e.g., via interviews, surveys) and use of GenAI (e.g., through video recordings, cued-retrospective reporting); Publish in leading 
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                the field of project management, finance and human resources. In medical scientific research projects, legal support is also provided. Watch the video to find out more. 
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                or cycling? Take advantage of our good bike scheme. Moreover, you will receive a reimbursement of €0.18 per km. Watch this video with more information about joining Amsterdam UMC Research BV. Additional 
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                ? Please apply no later than 23 November 2025 via the application button and upload the following documents: CV (in English) Cover letter (in English) to highlight how your skills match the profile A video 
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                purposes. The Erasmus Behavioural Lab offers outstanding facilities, including video observation, EEG, eye-tracking, virtual reality, experience sampling, and biofeedback: https://www.eur.nl/essb/informatie 
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                want to experience working at our faculty? These videos will introduce you to some of our researchers and their work. Conditions of employment Duration of contract is 21 Months Temporary A job of 36-40 
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                -academic audiences, through methods such as podcasts, videos, public lectures, social and traditional media, etc. Experience of quantitative and/or GIS methods. In our international working environment