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to packages in the area of geospatial data science. Evidence of innovation in research with high-level skills in numerical data analysis and presentation of data. A track record of publishing in reputable, peer
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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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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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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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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