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Field
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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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of flame acceleration and detonation phenomena and/or numerical modelling and simulation of three-dimensional turbulent reacting flows in a CFD code is a requirement. Applicants must be able to work
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substantial deliverables. Ideal candidates will also have expertise in renewable energy, energy in buildings, the impact of occupants on energy use and data acquisition and analysis. Energy modelling expertise
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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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. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able
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of research Work with PI in the planning and execution of experiments and collation of data Data analysis and model development Scientific presentations and engagements Key Competencies and Education
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performance, safety, and scalability. The project may involve both experimental investigations and numerical simulations, depending on the candidate’s background and the evolving needs of the research
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Marie Skłodowska-Curie (MSCA) COFUND scheme. Your work may include clinical and biomedical projects. It may also include technique development work aimed at combining imaging techniques and data analysis
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substantial deliverables. Ideal candidates will also have expertise in renewable energy, energy in buildings, the impact of occupants on energy use and data acquisition and analysis. Energy modelling expertise
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the master's degree has been awarded. The candidate must have good knowledge in atmospheric dynamics. Proficiency in scientific coding and data analysis (e.g., Python, MATLAB, R, C++, FORTRAN) is required