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Field
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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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learning and artificial intelligence methods in spatial analysis within the Department. Land Economy is defined as the multidisciplinary study of how society interacts with the environment, both natural and
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We are seeking an outstanding, creative researcher with the skills to develop novel, ‘artificially intelligent’ approaches to the application of nanofabrication techniques – see, for example https
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
positions to contribute to a range of exciting projects in artificial intelligence (AI), machine learning (ML), and algorithms. These are two-year fixed-term appointments within a vibrant and growing research
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for the first time. This will allow us to work out the best vital-sign-based early warning score. It will also allow us to build an electronic maternal early warning score, harnessing the power of artificial
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. It will also allow us to build an electronic maternal early warning score, harnessing the power of artificial intelligence to use all the information in the electronic patient record to best identify
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Sensing, GIScience, Computer Science, Artificial Intelligence, Statistics, Geography, Urban Planning, Geoscience, Environmental Science, Landscape Ecology, Meteorology and Climatology, Natural Resources
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including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art
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We are seeking an outstanding, creative researcher with the skills to develop novel, ‘artificially intelligent’ approaches to the application of nanofabrication techniques – see, for example https
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requirements: PhD Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, obtained within the last five year Research Experience in one or more of the following