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and biochemical tools in the context of a dynamic and enthusiastic work environment, with state-of-the-art equipment and various chances for national and international scientific collaborations. We
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. We offer an excellent opportunity to engage into an exciting PhD project that combines microbiology, genetic, microscopy and biochemical tools in the context of a dynamic and enthusiastic work
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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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, particularly in lesser-explored border regions of Eastern Europe or Western Eurasia, and to consider how these experiences are remembered, represented, and inscribed in the landscape itself. You will work with
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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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model of human working memory. During the project, we will follow an intertwined model-experimental approach. First, we will use electroencephalography (EEG) experiments to investigate the neural basis
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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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of Economics and Business The Faculty of Economics and Business offers an inspiring study and working environment for students and employees. International accreditation enables the Faculty to assess performance
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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