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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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interventions efficiently and maximise benefits. Urban data analytics, AI/Machine Learning, GIS, Spatial Planning 2. Optimisation of Hybrid Infrastructure Systems and Fit-for-Purpose Technologies How can green
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deployable video analytics technologies. Candidate Profile We are seeking highly motivated applicants with a strong academic background in computer science, data science and artificial intelligence. Applicants
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relevant health or biomedical discipline · An interest in evidence-based medicine, rheumatology, epidemiology or clinical research · Strong analytical and communication skills · A
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Webb, developing AI systems that can understand a continuously changing world. The Temporal Analytics Lab focuses on understanding patterns, making predictions and detecting unusual behaviour in data
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independently, as well as part of a team; Have the ability to plan, organise, manage multiple tasks and meet deadlines; Have analytical thinking, data analysis and critical problem-solving skills; and Be enrolled
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language processing, large language models, machine learning, network analysis, social media analytics, and large-scale analysis of online discourse and communities. This PhD scholarship will be based within
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program management, reporting and analytical support. You’ll also develop communications, build key internal and external relationships, and contribute to the development of future programs. Why UNSW UNSW
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information that is encoded in the x-ray wavefield as it passes through the sample. My research aims to tap into the wavefield phase to reveal weakly-attenuating objects like the lungs that are almost invisible
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or scraping of publicly available data), are strongly encouraged. Analytical frameworks may draw on discourse analysis, thematic analysis and critical approaches to power and ideology. A central aim of the