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multiphoton 3D printing, design and utilisation of photonics devices, programming and software engineering is a plus. Our offer A position for four years; a working week of 38 hours and a gross monthly salary
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faces. At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results. In the Reinforcement Learning Lab
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reusable software and data artifacts where relevant. Communicate research outcomes through papers and talks at conferences, workshops, and beyond. Actively collaborate with other researchers in the TRL Lab
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-powered data analysis. Publish reusable software and data artifacts where relevant. Communicate research outcomes through papers and talks at conferences, workshops, and beyond. Actively collaborate with
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and a scientific programmer. You will be supervised by both Rianne de Heide and Jelle Goeman. One PhD student will be appointed at the UT, and one PhD student at the LUMC. We collaborate very closely
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percent of the contracted time. Your qualities We look forward to your application if you have the following qualifications: a MSc in earth sciences, hydrology, civil engineering, environmental science or a
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deadline: 15 May 2025 Apply now Do you want to do research to help create healthier urban environments? Do you want to leverage cutting-edge technology and innovative research to find out how our cities
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amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first receivers, N-path filters and sub-sampling phase locked loops. The group is a world leader and initiator of many