16 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" positions at Vrije Universiteit Amsterdam (VU)
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cases. We are particularly interested in how AI, Data Science, or Machine Learning techniques can be used to quantify and assess software and system security from open source software to cloud services
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on the interface of topology and higher algebra (https://www.math.ru.nl/symmetry/ ), based at Radboud University Nijmegen, Utrecht University, and Vrije Universiteit Amsterdam. This community meets frequently
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Be committed to obtaining a university teaching qualification, or possessing one already. Where to apply Website https://www.academictransfer.com/en/jobs/358566/assistant-professor-in-quantita
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the longer term, build up a successful team around your field of expertise You acquire external research funding and submit applications for financing research with societal impact You teach at BSc and MSc
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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
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of everyday life. This project aims to change that by developing AI-driven methods to assess wellbeing through video-based sentiment analyses. As a PhD student, you will develop and refine machine learning
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the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning
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quantitative methodological skills in handling detailed spatial data, including various econometric techniques and machine learning approaches; a thorough understanding of empirical, explanatory research; a
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to the collaborative nature of the project, regular physical presence is expected Where to apply Website https://www.academictransfer.com/en/jobs/358284/phd-position-just-production-ar… Requirements Specific
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the potential of land use management to contribute to sustainable future development pathways. Your work is, focussed on the use of innovative spatial methods and models. Together with colleagues you teach