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qualitative, quantitative, mixed, or interdisciplinary methods. Possible PhD directions include (for example): antisemitism in news media, online platforms, and public discourse (content/discourse analysis
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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climate resilience. PhD 1: Qualitative focus (QUT) – this scholarship This PhD will lead a major component of the project's qualitative analysis, applying innovative methods to uncover how social mechanisms
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research experience. Additionally, the applicant should preferably have experience with: working with children; posture/physical activity research; sophisticated numeric data analysis. Application process
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priorities. This may include: Supporting the design and implementation of community-led research projects. Conducting literature reviews and environmental scans. Assisting with data collection, analysis, and
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polymer chemistry or tissue engineering. Strong skill set for data analysis and interpretation, coupled with excellent written and verbal communication abilities. Ability to work effectively in a
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projects that involve data analysis, the application of artificial intelligence, the development of new detection techniques, and the exploration of new experimental methods through collaboration with our
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information, please contact: Professor Dennis Petrie dennis.petrie@monash.edu or Dr Gozde Aydin gozde.aydin@monash.edu Integrated PhD Program The project is based in the Centre for Health Economics (CHE), a
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Status: Closed Applications open: 15/05/2025 Applications close: 31/05/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded as part
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fields and control systems. In addition to this, simulations of electron spins and subsequent data analysis are also an important aspect of our work. "Wide-field quantum microscopy of exotic materials