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analytical mindset and is thoroughly trained in at least one of these general methods. Furthermore, it is essential that the candidate speaks and writes English fluently, has an international orientation, and
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(or mix thereof), and it is important that the candidate has a strong analytical mindset and is thoroughly trained in at least one of these general methods. Furthermore, it is essential that the candidate
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-Heritage data, both contemporary and historical. Within HAICu, AI researchers, Digital Humanities researchers, and a wide range of public and private partners will co-develop scientific solutions to unlock
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control, as well as the processing and analysis of vibration signals, with an added advantage of familiarity with structural health monitoring. • Desirable practical expertise in utilizing data acquisition
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of familiarity with structural health monitoring. • Desirable practical expertise in utilizing data acquisition systems such as dSpace, NI modules, Siemens Scadas, and equipments such as modal shakers
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of schooling and the implications this has for society and the teaching profession - as teachers are at the core of schooling. The project will integrate multiple analytical perspectives (both qualitative and
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limited to: interviewing, surveying, mapping, participant observation, Participatory Action Research, secondary source research, and to undertake data analysis. Be willing to engage research participants
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PhD Investigating Modern Organizational Structures & Decision-Making through experimental approaches
). Empirically, we combine experimental methods with secondary data analysis. Organisation The PhD position is embedded in the research programme Innovation & Organization of FEB’s Research Institute. We offer a
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Action Research, secondary source research, and to undertake data analysis. Be willing to engage research participants with virtual reality technologies. Be excellent at both oral and written communication
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specialisation in machine learning or computer vision) - good programming skills and hands-on experience with machine learning techniques and deep neural networks - excellent problem-solving and analytical skills