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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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mission is to accelerate the commercialisation of research for the Australian Defence Force (ADF), develop education training pathways, fast-track entrepreneurs' ideas to commercialisation, and enhance
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Civil Engineering team. The ideal candidate will have a strong track record of research, relative to the career opportunity in the application of advanced materials such as fibre-reinforced polymer (FRP
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management decisions and mitigate risk. The successful candidate will develop the research objectives in collaboration with an experienced supervisory panel, comprised of researchers at the University
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field. They will possess a demonstrated track record of high-quality research, including publications in leading journals and conferences, particularly in the area of electrode/electrolyte interface
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meet deadlines, with flexibility to alter priorities to meet changing demands. An emerging research track record with evidence of recent high quality scholarly publications. Demonstrated capacity to work
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skills in R and Python. Demonstrated experience with the handling and maintenance of crops in field-based and controlled environments, and genetic transformation of cereal crops. A strong track record of
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proven track record as a reliable and trusted team player. They can conduct research and engage with stakeholders to build effective working relationships. They are able to comply with obligations
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track record of peer-reviewed publications and conference presentations in relevant fields. Ability to work collaboratively in interdisciplinary teams and communicate clearly and effectively in English
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of these fields. They must be a strong team player and be able to communicate and work with the investigators and industrial partners. They will have a track record of publications in those fields commensurate