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Researcher to join a cutting-edge project focused on the self-consistent analysis of black hole horizons and their observational signatures. This role offers the opportunity to work within a dynamic research
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modelling, including two-phase flow in fractures, stochastic permeability analysis, and upscaling to fracture networks. Deploy large scale simulations using high-performance computing (HPC) and collaborate
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the conduct of relevant externally funded research, including project design, implementation, analysis and administration, with published outcomes. Demonstrated high-level verbal and written communication
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several years’ experience in an industry role in a related field. Demonstrated experience in CFD analysis, preferably within the turbomachinery and biofluid fields and with CAD design of devices. Proficient
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
free energy calculations or advanced sampling techniques—is essential, ideally involving proteins, nucleic acids, or other biomolecules. Proficiency in programming or scripting for simulation and data analysis
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biomolecules. Proficiency in programming or scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction
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SRH’s Program 1 (Process Integration and Sustainability) and undertake a new research activity under Project 1.2.4 – Numerical Modelling of Electric Smelting Furnace Phenomena: Melting of Direct Reduced
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familiarity with or experience in secondary data and its analysis. Demonstrated experience analysing and reporting quantitative data and/or qualitative data. Life at QUT We're committed to building a culture
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collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and familiarity with or experience in secondary data and its analysis. Demonstrated
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digital literacy, including the ability to rapidly acquire working knowledge of data analysis software packages. Demonstrated experience in qualitative and/or quantitative research techniques. Demonstrated