392 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Monash University in Australia
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My research focuses on the theory of strongly correlated phenomena in cold atomic gases and electron systems. Particular topics of interest include low-dimensional quantum systems, superconductivity and quantum impurities. I was previously part of the Australian Centre of Excellence for Future...
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service and high‑quality outcomes Well‑developed written and verbal communication skills The ability to work independently while contributing positively to a team Strong computer literacy, including
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representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed
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Quantum–Classical Algorithms for Scalable Data Systems and Intelligent Analytics Unsupervised Music Emotion Tagging (Affective Computing) Authorised by: Marketing, Faculty of IT , Monash University
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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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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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I work on the study of massive and supermassive stars (10-100,000 solar masses); the first generations of stars in the universe (Pop III stars); evolution of rotating massive stars and the spin of their remnants (including predictions for GW sources); mixing and transport processes in the...
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Learning for De Novo Molecular Design from Analytical Spectra Hybrid Quantum–Classical Algorithms for Scalable Data Systems and Intelligent Analytics Unsupervised Music Emotion Tagging (Affective Computing
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David Shugg Professionalism Scholarship Industry Leaders Scholarship This Scholarship is to honour the important role that David Shugg played in the professionalism of paramedics. Throughout David’s career, he advanced and embedded professionalism in paramedic training and education in the...
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind the scenes and the simplex algorithm is one of the top 10 most influential algorithms. Major...