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I work on a wide range of topics with my local group and in collaboration with members of three large international collaborations. The central focus of my research is to understand how the observed pattern of fundamental particles and forces emerged, using information carried by gravitational...
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I am an experimental particle physicist that works on the search for phenomena that are beyond our current theoretical understanding in terms of the Standard Model of Particle Physics. The research is carried out within the LHCb collaboration that runs one of the four large experiments at the...
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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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I supervise a wide range of projects in stellar astrophysics, with a focus on low and intermediate-mass stars, which have masses similar to or slightly larger than our Sun. This work is carried out within the Centre of Excellence for Astrophysics in 3D: ASTRO 3D. As a member of my group, you...
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I supervise a wide range of projects at the intersection of photonics and nanotechnology, investigating how we can efficiently control light on the nanoscale. Applications are in areas such as optoelectronics, green energy, and fundamental quantum optics. As a member of my group you will have...
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Centre for Health Economics, Monash Business School, PhD Program 2025 Job no.: 625101 Location: Caulfield campus Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration
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The Arthur McComb PhD Field Work Grant Arthur McComb was Professor of Environmental Science at Murdoch University from 1989-1996. He was passionate in wanting to improve the state of environmental
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Generation Sequencing-based genomics and pan-genomics data, large field trial data across multiple geographical sites, and environment data. The PhD research will involve cutting-edge bioinformatics and data
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collect real data from ocean and rivers. Deep learning models and architecture will be validated based on real data. More robust and accurate models will be developed for global ocean environments
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team has the goal to enhance the lives of children and their families by supporting technology use in ways which are beneficial to children’s physical health. We are offering PhD scholarships funded by