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-on experience that complements the participant’s educational and professional background and help the participant gain knowledge in processing and analyzing large volumes of bioacoustics data. Participants will
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au ANU is a large, diverse employer
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processing An interest in the processing of the sound structure of languages Experience in the design, running and analysis of EEG experiments Strong data analysis skills, including mixed effects modelling
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bioinformatics, programming, and large-scale data mining, within a collaborative, high-performance research environment. You’ll also contribute to service and engagement activities, helping drive innovation and
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that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging,” and we love
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solutions. Through interdisciplinary programmes, living labs and large-scale testbeds, ERI@N drives impactful translational R&D with strong industry deployment. More details: https://www.ntu.edu.sg/erian We
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to translate ground-breaking technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too
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analysis of large, diverse datasets including field experimental data, geospatial data, and time series data. Experience with machine learning and statistical learning. Familiarity with various management
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be a large amount of qualitative data analysis required, potentially using framework analytic approaches. In addition, evidence synthesis skills such as systematic reviews and meta-analysis, and
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performance. The research will involve working with large-scale datasets and may include the use of advanced data analysis or AI-based methods to support modelling, uncertainty analysis, and systemic risk