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investigating the impact of using green steel as a substrate and at the same time improving the performance of these types of coatings on corrosion and cracking resistance, applicability and removability
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in or around the top 100 on several influential ranking lists. Currently approximately 34,000 students are enrolled and about 1,500 PhD students work on their theses. It has a highly international
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framework of responsible human-AI collaboration to better understand the role of human oversight in bias mitigation. Understanding human needs for bias mitigation – Understanding how individuals interact with
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such as the following: - Characterizing human-AI collaboration for bias mitigation – Developing a conceptual framework of responsible human-AI collaboration to better understand the role of human oversight
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in the Netherlands for NLP/CL, with ties with the Media Studies group. As part of this PhD, the candidate will: Conduct independent research on the themes of the project and complete the PhD project in
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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on a flat-belt conveyor and are dynamically grasped, unfolded, and oriented by multi-axis manipulators fitted with custom force-feedback grippers, and will work in close concert with a parallel sensing
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and materials engineering. For more information about the APE group please use the following link: www.rug.nl/research/ape. The project cooperates with the Bernoulli Institute of Mathematics
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Organisation Job description As a researcher, you will play a key role in developing and implementing the DNPP’s research programme. Your responsibilities will include conducting independent and
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dissertation, to be completed within 4 years. PhD candidates are expected to contribute 10% of their overall workload to teaching. The successful applicant will work on a multidisciplinary project aimed at