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knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/358946/phd-position-on-vision-language… Requirements Additional
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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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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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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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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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. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value Promoting an inclusive community
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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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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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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
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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