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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 6 hours ago
University, University of Queensland, and University of Adelaide) of the Analytics for the Australian Grains Industry (AAGI). The Person We are looking for academics with a PhD (or who will be awarded a PhD
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 21 hours ago
of Adelaide) of the Analytics for the Australian Grains Industry (AAGI). The Person We are looking for academics with a PhD (or who will be awarded a PhD within six months of the appointment commencement) and
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/Prof Linda Corrin, Asst Prof Yizhou Fan, Adj/Prof Rafael Ferreira Leite de Mello, and A/Prof Lan Yang. They will be based at the Centre of Learning Analytics at Monash. The PhD 1 project will focus
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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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interpreting MS data with the team. Develop and apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners
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apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners to translate findings into practical screening
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analytics. The magnificent coastline of WA facing the Indian and Southern Oceans also supports the School’s major strengths in coastal processes, physical oceanography, and offshore engineering focusing
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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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artificial intelligence, machine learning, IoT, and their security implications for organisations and society. •Misinformation – Analysis of the creation, spread, and impact of false or inaccurate information