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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
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contributions to musculoskeletal mechanobiology and regeneration program, specifically focused on using in vivo optogenetic and transgenic tools to understand developmental processes, mechanical adaptation
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. The project is supported by the Australian Research Council Linkage Project “Chemical and mechanical modification of starch-based packaging materials” in partnership with Intertape Polymer Group, USA. Both
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or other career paths. Qualifications Required Qualifications PhD in Biochemistry, Biophysics, Molecular Biology, Genetics, Computational Biology, Bioengineering, Systems Biology or related field Strong
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employment period is three years. A premise for employment is that the PhD Research Fellow will be enrolled in USN's PhD-program in Technology within three months after accession. About the PhD-project
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household-level impacts. Simulate the effects of policy scenarios (e.g., shifts from standing charges to alternative pricing mechanisms) on different archetypes, analysing implications for energy
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-integrated optical system capable of probing tissue mechanics at unprecedented speeds, with direct implications for early cancer diagnostics and beyond. Key Responsibilities: • Design and develop fibre
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and the School of Computing Technologies to advance research on bushfire evacuation and emergency planning and preparedness in hazard events. You will support the research aim and objectives of the ARC
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational