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of Contract Temporary Job Status Part-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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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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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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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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Vacancies EngD or PostDoc Position on Future-Proof, Self-Organizing, Smart Logistics Key takeaways We are looking for a highly motivated, enthusiastic, and curious EngD (Engineering Doctorate
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
study how computational infrastructures develop over time through shifts in software production. We do so to critically engage with these transformations and explore more equitable ways of organizing
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Research Project TransEuroWorkS: Transforming European Work and Social Protection - A New Proactive Welfare State Fit for the Future World of Work A consortium of 10 European universities and other research
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series of drug combinations that have now become an indispensable component of the standard treatment regime. More about Jesús San Miguel Jesús San Miguel (born Almarza, Spain, 1953) is an inspirational
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In this role, you will help develop and implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning