211 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" PhD positions in Australia
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to $5,000. Amount: Up to $5,000 Duration: One-off Quantity: Multiple Eligibility and selection criteria Eligibility To be considered for this scholarship, you must: Be confirmed as a PhD candidate in the
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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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brings together an industry partner, a university and Australia’s leading science agency, CSIRO, to co-develop a four-year industry-focused PhD project. The program supports a three-way partnership aiming
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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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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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vehicles capture videos or images for underwater pipes for inspection purposes. However, highly blurry or poor-quality videos can only be received under noisy environment. Therefore, developing accurate
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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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in lower vertebrates, if it is present in sharks and how or if cartilage repair occurs in lower vertebrates. This project aims to develop a better understanding of the biology of cartilage in lower
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to establish similar tools in the US, Canada, UK, New Zealand, Hong Kong, Argentina and Fiji. It was developed by Hunter New England Local Health District and won Research Australia’s prestigious data innovation
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-hazard resilient sustainable modular structures. New modular connections will be developed and structural response of hybrid modular structure to multiple hazards including impact, blast, wind and