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the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb
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cellular biology laboratory work, providing scientific support to an NHMRC funded project in a mouse model acute lung injury and a collaborative microbiome project in stool samples collected from patients
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) A PhD in a related discipline, and/or relevant work experience. Skills in programming or scripting, sufficient to develop or modify codes used for data analysis and for materials modelling
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models to enhance the detection of online narratives. The successful candidate will be appointed to a two-year fixed-term, research-intensive position supported by ASCA’s EDT program on synthetic media and
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to generate data which can be coupled with robust and physics-informed machine learning and reduced-order modelling methods for model predictive control and reinforcement learning. PhD (or soon to be completed
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-aneutronic fusion energy reactor concepts. For HB-11 Energy, the results will directly inform the company’s technology roadmap and contribute to balance-of-plant modelling to assess economic viability
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the following key capabilities: A PhD in a relevant field Demonstrated experience working with ecological datasets Demonstrated experience in statistical inference and reporting Knowledge of models and theory in
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meaningful work, you’re in the right place. Why Your Role Matters: Join a leading research team at UNSW Business School, where you'll contribute to cutting-edge work on modelling and managing retirement, aged
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a Postdoctoral Research Associate to join the team and contribute to this initiative. Working closely with materials modelling experts, you will have a primary role in planning experimental materials
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hypergraph models of data, data complexity, structural properties of graph and hypergraph classes, algorithmic consequences, and applications. As such, the successful candidate must either have a good