11 atmospheric-simulation-and-modeling Fellowship positions at University of Adelaide
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Technology (SET) This position plays a vital role in developing advanced theoretical tools and models for superconducting quantum materials research, contributing to leading-edge defence-related technologies
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Modelling to join an interdisciplinary team investigating how ecological traits, environmental changes, and anthropogenic pressures have shaped historical declines and extinctions of Australian mammals
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individual to work on an exciting modelling and simulation project, involving extensively applied work at the intersection of software engineering research and modelling and simulation, with real-world testing
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closely with an industry partner, you will generate cutting-edge insights into protein structures and protein-ligand interactions using in silico approaches such as bioinformatics, modelling and docking
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support in different initiatives related to the prevention, diagnosis and management of different conditions in primary care. Working with a dynamic team of primary care researchers, you will play
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learning and one or more of the following: transformer networks, implicit neural functions, graph neural networks and/or probabilistic graphical models; and causal inference. • An outstanding publication
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communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is desirable Knowledge and interest in wine is desirable Applying: Expression of
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the expertise in repair and rehabilitation of structures with advanced materials, construction-grade waste materials and experience in experimentation and modelling of structures or structural elements. This all
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quantitative methodologies, especially for instance in the areas of econometrics (microeconometrics), statistics, and economic modelling. Demonstrated knowledge of statistical and econometrics software packages
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research ability in the economic analysis of illicit markets, financial crime, trade economics, or related areas, as evidenced by a strong record of data analysis, modelling, and scholarly publication. A