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looking for a Postdoctoral Research Associate who has: a PhD in a quantitative field (e.g., physics, mathematics, computer science) interest and experience in simulating and analyzing multivariate time
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leading role in mentoring junior students, with the opportunity to take on formal supervision roles. About you Qualifications: PhD in Neuroscience, Computational Neuroscience, Psychology, or a related field
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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) Sydney, in partnership with ANSTO (Australia), Imperial College London (UK), and Tokamak Energy (UK), is launching a groundbreaking research program focused on developing new materials for compact tokamak
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focused on understanding and countering harmful narratives and, mis/disinformation, and applying social network analysis. To be successful you will need: PhD in a relevant discipline such as computer
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across fields of nuclear physics, engineering design and/or materials science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary: Level A – AUD $113,911 to $121,838 per
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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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combatting wildlife trafficking and environmental harm. To be successful you will need: PhD in a relevant discipline such as computer science, data science, digital forensics, cyber security or a related field
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Doctoral Scientist position. This position will report to Professor Jose Polo, Lead of the Cancer Epigenetics Program at the South Australian Immunogenomics Cancer Institute (SAiGENCI) and the Inaugural
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undertaking independent and or team research on Scientia Professor Buckley’s Australian Research Council (ARC) Laureate Research Program entitled “The Financial Data Revolution: Seizing the Benefits