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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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, providing evidence-based analysis for determining force effectiveness. The applicant will work with other researchers and engineers in A/Prof Szabo’s team who share broad goals in modelling and simulation and
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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the Barossa Valley, beaches, sporting activities, benchmark schools and shopping facilities. This opportunity offers diversity in day-to-day work, where, in addition to a significant component of clinical work
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contexts. The Senior Capability Development Officer will be required to understand learning development needs, industry business requirements, the employee value proposition, conduct skills gaps analysis
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procedures and data analysis. Key Responsibilities Maintain lab equipment, stocks, safety protocols, and cleanliness Induct and support staff and students in lab safety and procedures Conduct and support
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of potential options for implementation. This will include prototyping and testing of various implementation options, analysis and documentation of results. Project 2 - Future Power System Modelling: As part of
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characterisation of novel genes, improved methods for RG-II analysis, and a better understanding of cell wall assembly and function. To be successful you will need: A completed or nearly completed PhD in Plant
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Engineering. Familiarity with partial differential equations (PDEs) numerical analysis and / or data science and statistics will be an advantage. Number of scholarships: One Contact person: Associate Professor
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of Australia Be enrolled on a full time basis in a Commonwealth Supported Place Have the coursework component of the overseas study pre-approved by the Faculty of Science, Engineering and Technology prior