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sciences. Our teaching and research have a strong experimentally technical, computational and interdisciplinary nature. We work on new solutions guided by value-driven, interdisciplinary methodologies. We
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sciences. Our teaching and research have a strong experimentally technical, computational and interdisciplinary nature. We work on new solutions guided by value-driven, interdisciplinary methodologies. We
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++ programme “Break-through technologies in flow and fluid composition measurement”. It involves close cooperation with flow sensor companies and the TU Delft, where a post-doc will focus on the electronic
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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experience and skills: master's degree/engineering degree in artificial intelligence/computer science/applied mathematics; demonstrated abilities in research or problem solving tasks (public challenges, coding
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set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information
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University and present your results at (inter)national scientific meetings; participate in the Faculty of Science PhD training program; assist in teaching Bachelor and Master’s students; co-supervise and
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large-scale neural models of the early visual system. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience and strong deep learning
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programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information, see the website. Faculty The Faculty of Science at Leiden University is a world-class
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quantitative skills and strong analytical capabilities; proven experience with experimental image and data analysis; proven experience with mathematical/computational modeling of experimental observations