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investigations with numerical modelling. Applicants should possess an excellent academic record, preferably including a master's degree with a research component. Experience in experimental and/or numerical
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applicants with a background or experience in: • Computational chemistry • Materials simulation • Scientific machine learning / AI • Molecular dynamics or DFT • Materials science or a related discipline
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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research into real-world products. The candidate will spend part of their candidature embedded within Aervision's research and development team, gaining hands-on experience in commercial AI development
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and, sadly, short lived experiment in nursing education, we “belonged” to the School rather than to a specific training hospital and undertook our clinical placements at a number of affiliated hospitals
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experiences and lifelong engagement in sport. Grounded in the Australian Physical Literacy Framework and aligned with the strategic priorities of the Physical Literacy Coalition, the project responds directly
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expertise: Bioinformatics experience A PhD student with bioinformatics experience will generate and analyse complex microbiome sequence data to complement existing rumen microbiome datasets. Via multi-omics
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Understanding factors related to student retention and experience in physics and astrophysics major units. Using quantitative (surveys) and qualitative data (interviews with students) this project
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the School of Social Sciences. The project will focus on the lived experience and impacts of displacement linked to a community impacted by climate-related disaster. Using primarily qualitative methods
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. Desirable Demonstrated knowledge/experience in: multiphase flow porous media flow microfluidic fabrication and experiments 3D printing surface chemistry Demonstrated programming skills in: Matlab C++ Python