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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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on the vision of developing multi-level thrombosis risk prediction models, from cellular dynamics to organ-level hemodynamics. The network integratesin silico, in vitro, and in vivo approaches to understand
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vision imaging technologies and machine learning methods to estimate physiological parameters (eat-readiness, shelf-life) of fruits at industrial sorting speeds. The work will include creating an accurate
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apply a Research Through Design (RTD) methodology to further specify the pathways towards these visions with spatial strategies on the middle-long-term (year 2035-2055). This RTD approach should fit
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interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and
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approach and based on a well-established Indonesian-Dutch research consortium, this project contributes to multiple SDGs while advancing the Indonesian Vision 2045 and Blue Economy Roadmaps of Indonesia and
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of its kind. You will be the architect and experimentalist who brings the MagHeat vision to life. The MagHeat project with our European collaborators has a duration of three years. For the fourth year of
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transition to a circular society, a society that is not extractive but that systematically reuses its resources. In this PhD, you will contribute to visions of a circular future, particularly in an urban
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specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
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community is central to Leiden University’s values and vision. Leiden University aims to be an inclusive community in which all students and staff members feel valued and respected, and are able to develop