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collaboration with a leading high-tech semiconductor manufacturing company, demonstrating how edge devices can execute foundation models with guaranteed performance and minimal energy footprint—closing the gap
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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of social networks in reproducing (dis-)advantage across generations. This PhD project focuses on the intergenerational transmission of social networks and is part of the broader NWO-funded research programme
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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Mar 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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energy minimization. In this project, you will further explore and exploit the potential of ONNs performing sense and compute functions. Some of your responsibilities will include: Design and develop
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devices that can operate in confined anatomical environments and interact with biological tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices
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multiple times about the necessity of learning Dutch. Fortunately, she assured me that the English level is very high in Nijmegen and the Netherlands. When I came here, Radboud University offered valuable
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implementation topology and its power, performance and area. Collaborate with team members in NanoComputing Research Lab. Communicate clearly, both written and verbal. Publish research findings in high-impact
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26 Jan 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Informatics Computer science » Programming Medical sciences » Medicine