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the timing, scale, and rate of mammal declines in Australia. They will use critical inferences of past demographic change and high-performance computing to disentangle the ecological mechanisms that were
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with causal inference techniques such as causal graphical models, instrumental variable analysis, and counterfactual reasoning to better handle high-dimensional, multi-environment datasets typical in
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publication track record in relevant areas of high-energy astrophysics in leading academic journals. A strong interest in and commitment to the delivery of quality undergraduate education. Experience in and/or
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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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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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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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recent track record of research expertise in geochemistry and diagenetic alteration within the subsurface, demonstrated by publications in international peer reviewed journals. A completed PhD with a focus
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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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, diversity and inclusion, and ability to contribute to the diversity of the School of EME community Desired Characteristics: Track records of scholarly publications in prestigious journals, as measured by Q1