645 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Netherlands
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about employment conditions, see https://www.universiteitleiden.nl/werken-bij/sollicitatieprocedure-en-arbeidsvoorwaarden What we value Promoting an inclusive community is central to Leiden University’s
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: Design, coordinate, and teach Digital Marketing courses in BSc, MSc, and executive programs. Supervise BSc and MSc thesis projects and mentor students. Collaborate with colleagues to innovate and enhance
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to develop new methods, for example using machine learning. have a proven track record of independent research funding and high quality publications. have at least 5 years of post-PhD work experience
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, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
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would like to receive a brief outline of how you would like to conduct research on this question. Where to apply Website https://www.academictransfer.com/en/jobs/358748/post-doctoral-researcher-for-th
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the sensitivity of our new measurements to pathology (e.g., neurodegeneration, vascular injury) in post-mortem human brain samples. Acquire MRI data of healthy volunteers and study the distribution of cortical
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Breeding and Genomics Group | WUR . Where to apply Website https://www.academictransfer.com/en/jobs/358906/phd-position-welfare-assessment… Requirements Specific Requirements You are a highly motivated
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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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studying folding dynamics of complex proteins in isolation or within a condensate environment. For more information, see: https://www.mashaghilab.org and https://www.universiteitleiden.nl/en/science/drug
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actively contribute to meetings and gatherings of the Social Context of Aging group at the VU (https://vu.nl/nl/over-de-vu/meer-over/the-social-context-of-aging-soca ) ,the LASA research team in