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experience in the area of imaging, materials characterisation, physics, engineering, chemistry, mathematics, computer science, advanced manufacturing, or related fields.
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, computer vision, federated learning, foundation models, adaptation techniques, multimodal learning, longitudinal image analysis or related areas, evidenced through coursework, research projects
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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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(PDEs), and linear algebra Experience with high-performance computing (HPC) or cloud-based simulation acceleration Experience with integrated photonic device fabrication and light-matter interactions
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program management, reporting and analytical support. You’ll also develop communications, build key internal and external relationships, and contribute to the development of future programs. Why UNSW UNSW
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the Integrated PhD program application process outlined on the Monash Business School website. Briefly, the process is: Assess your eligibility using the interactive tool on the webpage under Step 1 (i.e. the PhD
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combination of multi-wavelength observational data with sophisticated simulations. I am a member of various collaborations, including Australia's OzGrav Centre of Excellence for Gravitational-wave Discovery
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of nearby molecular clouds and the Milky Way. The multidimensional structure and characteristics of bubbles, voids and cavities of galaxies. Inferring the physics driving star formation using probability
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process. In special circumstances, we do offer a hard copy / printed version of the application for you to submit. Please contact our Bursary Program Manager, Kathy Cavanagh Ph: 0407 117 378 or Email
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phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features