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collaborative, independent, and organised approach to research Desirable (not essential) skills include experience with version control (e.g. GitHub), automated reporting (e.g. R Markdown), or interactive
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implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised
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UWA School of Agriculture and Environment Join a renowned research team solving weed control challenges in Australian broadacre grain crops. Full-time appointment on a fixed term basis for 5 years
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of photonic single protein sensors to observe, control and understand protein behaviour, advancing knowledge at the interface of quantum science and the life sciences. As a Level B Research Fellow, you will
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version control. A current Australian driver’s licence or the ability to obtain one. For full details about this role, and other criteria, please review the Position Description . Not sure if you meet all
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theory (e.g. VASP, Ab-init, Quantum espresso), and molecular dynamics (e.g. LAMMPS, DL-POLY) Knowledge of development of inter-atomic potentials – classical or ML. Proven commitment to proactively keeping
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industry, policy, and public sectors Review relevant literature and engage with sociological theory to understand the role of “cute” home helper robots in Australian households Undertake design and digital
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encouraged. About the Role Reporting to the Bradley Distinguished Professor, you will be responsible for undertaking high-quality research projects deploying de-colonising theory and practice, to build and
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languages (e.g., Julia, Matlab, C#, C++) Familiarity with the applications and theory of environmental genomics Qualifications: A PhD in quantitative ecology, quantitative conservation biology, applied
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stability assessments and control development. You will: contribute to delivering the CfNETR project(s) in smart power system engineering; develop literature reviews and maintain data and knowledge