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the academic staff at SIT. We are looking for PhD students to work on projects on stochastic optimisation algorithms for hyper-parameter tuning in Machine learning. The successful candidate will explore
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, and evaluation of advanced software engineering techniques and methodologies aimed at detecting, mitigating, and preventing misinformation online. The successful candidate will develop novel AI-driven
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the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
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. They also drive the sustainable development of South Australia’s natural resources and heritage, to deliver economic prosperity and a vibrant and healthy society. DEW requires various PhD students
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and industry legend Mr John Cripps AO. The scholarship proposes over time to: develop talented candidates into researchers who can work in both industry and academic settings strengthen industry through
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in a PhD focused on error correction codes for free-space quantum communications This includes developing new analysis, design and decoding methods for error correction codes for information
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leading team, access world-class research facilities, publish in top journals, and develop expertise in soil and climate change science, fieldwork, laboratory methods, and environmental modelling.
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and Industry collaborator Kurloo Technology, with the student primarily based at Curtin University (Perth, Western Australia). The objective of this project is to develop and test new methods