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generation of accessible and expressive digital musical instruments. You will design, develop, and evaluate novel music and human-computer interaction technologies that combine wearable motion capture
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, or the wider region. Skills in material science and decay analysis, conservation practice, or digital-humanities methods (network analysis, GIS, computer vision). Familiarity with international
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scientific methods and analytical approaches used to support the mission of the ATSDR Office of Innovation and Analytics (OIA). You will gain hands-on experience with computational, data science, and other
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. The position reports to Associate Professor Elizabeth Williams at UNSW School of Science and has no direct reports. Who You Are (skills and experience): A PhD in nuclear science, human-computer interaction
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the workplace. The second supervisor conducts research on diversity and inclusion and has expertise in research methods. The third supervisor conducts research on organizational psychology and innovation. Project