401 computer-programmer-"Multiple"-"O.P"-"U"-"Humboldt-Stiftung-Foundation"-"U.S" positions at Monash University
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Machine learning is being used to make important decisions affecting people's lives, such as filter loan applicants, deploy police officers, and inform bail and parole decisions, among other things. Machine learning has been found to introduce and perpetuate discriminatory practices...
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Proceedings of CoNLL, 2018. [2] Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach Trang Vu, Gholamreza Haffari In Proceedings of EMNLP, 2018.
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I supervise a wide range of projects in gravitational-wave astronomy. This work is carried out within the Centre of Excellence for Gravitational-wave Discovery: OzGrav. As a member of my team, you will have the opportunity to interact with gravitational-wave researchers throughout Australia and...
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between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve...
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computational while other work will involve time spent in the lab. Search for physics beyond the Standard Model in penguin decays in data from the LHCb experiment. Identify particle identification requirements
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My work focuses on experimental research in quantum sensing and quantum microscopy using the nitrogen-vacancy (NV) centre in diamond. In particular, we are interested in applying quantum sensing for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors,...
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for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council Discovery Project, this research aims to develop highly novel physics-informed deep learning methods...
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This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the environment. Specifically, we’ll design novel data modelling and indexing techniques to exploit the data and create a next-generation, eco-friendly navigation system which will...