22 computer-vision-and-machine-learning PhD positions at University of Twente in Netherlands
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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renovation construction work · evaluate (numerical or data driven) solutions for automated coordinated planning · develop and evaluate self-learning interactive visualisation technologies
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environments. About the organisation The Faculty of Geo-Information Science and Earth Observation (ITC) provides international postgraduate education, research and project services in the field of geo
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research output and we love to teach at bachelor, master, post-master levels and in industry. About the organisation The Faculty of Engineering Technology (ET) engages in education and research of Mechanical
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of digitalisation and energy renovation. You will learn to conduct research independently and grow scientifically through collaboration and supervision by researchers from Saxion and Hanze Universities
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the domain of digitalisation and energy renovation. You will learn to conduct research independently and grow scientifically through collaboration and supervision by researchers from Saxion and Hanze
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. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations, Resilience
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procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development
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. The project will be carried out in collaboration with an industrial partner under the umbrella of the Industrial Focus Group XUV Optics where a multidisciplinary research program on growth, characterization