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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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are working with a PhD student and a research fellow who have collected underwater data and preliminary algorithms. With their guidance and supervision, project aims and objectives are expected to be achieved
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms
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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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benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population genomes. Candidates will work within a
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technological solutions. Your key responsibilities will be to: create innovative astronomical instruments and algorithms for groundbreaking astronomical science in high-contrast and high-angular-resolution
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optimisation algorithms essentially rely on adapting classical non-distributed algorithms into the realm of distributed optimisation. This project aims to develop, analyse and deploy new algorithms
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be to: create innovative astronomical instruments and algorithms for groundbreaking astronomical science in high-contrast and high-angular-resolution imaging design and characterise novel instrument
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image diagnosis. The expected outcomes are development of a software prototype, technical advancement in medical image diagnosis and the creation of novel AI algorithms. Potential project benefits