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for stability analysis. The project will investigate connections between the Maslov index and the Evans function, develop methods for systems with multiple timescales, and apply these techniques
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-resolution imaging implement and test novel instrument concepts based on astrophotonic technologies (including the photonic lantern and photonic integrated optics), by way of computer simulations, laboratory
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currently seeking a Postdoctoral Research Associate in Spatial Omics and Statistical Data Science to join an ARC-funded Discovery Project developing statistical and computational methods for the analysis
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researchers to design, develop, and evaluate novel approaches to Endpoint Detection and Response (EDR), threat investigation, and causal analysis of audit logs and event telemetry. The successful candidate will
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settings native speaker competence in a non-European language (preferred) experience in quantitative methods of typological analysis demonstrated ability to conduct research/scholarly activities under
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David Levinson , the successful candidate will contribute to the development of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making
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of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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of hybrid quantum–classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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mentorship in experimental design and data analysis foster collaborations within the laboratory, CPC, and broader national and international research community present research findings at national and
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biological samples (mould air and surface sampling) across study residences conducting quantitative data analysis across multi-site time-series IEQ datasets, including clustering, regression, and statistical