17 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at Vrije Universiteit Amsterdam (VU) in Netherlands
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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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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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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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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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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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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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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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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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Website https://www.academictransfer.com/en/jobs/358285/phd-in-environmental-epidemiolo… Requirements Specific Requirements We are looking for a motivated candidate with: An MSc in Epidemiology, Public
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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