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-technical audiences and engage in stakeholder or end-user consultation. DESIRED CHARACTERISTICS: Demonstrated experience in models of opinion dynamics, Bayesian reasoning models, natural language processing
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(e.g. Xolotl, Centipede), object-kinetic Monte Carlo or similar. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Excellent track record in research (3
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codes, finite element or finite different methods, peridynamics, phase field models, multi-objective optimisation methods, CAD. Demonstrated ability to adapt to fast-changing project direction and learn
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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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and emerging research profile in biotechnology and biopolymers. You will work with Professor Steven Pratt and other CI’s on delivering against the research objectives of Research Program 1.3
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research with limited supervision. Demonstrated track record of publications and conference presentations relative to opportunity. Demonstrated ability to work in a team, collaborate across disciplines and
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. Demonstrated track record of publications and conference presentations relative to opportunity. Evidence of highly developed interpersonal skills, ability to work in a team, collaborate across disciplines and
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developments. Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision. Demonstrated track record of publications in high-impact journals and
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potential of high-speed rail (HSR) in shaping Australia’s urban future. As a Level A Research Fellow, you will undertake high-quality, independent research aligned with the project’s objectives, with a focus
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using regional hydrodynamic models (e.g., ROMS) and related software. Strong track record in regional dynamical oceanography and knowledge of model validation, and heat budgets. Competent programming