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, or computational modelling of complex systems. Proficiency with simulation software (e.g., ANSYS, COMSOL, MATLAB) and numerical analysis methods. Experience in acoustic, structural, and fluid-structure interaction
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statistical methods including multilevel modelling, psychometric scale validation (EFA/CFA), structural equation modelling and causal inference approaches appropriate for complex education datasets. Advise
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sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation of cellular response mechanisms, and close collaboration with
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join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting opportunity for an early
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
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discipline. You will demonstrate: A strong track record of refereed research publications and manuscript preparation Analytical capability and the ability to solve complex scientific problems Experience in
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sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation of cellular response mechanisms, and close collaboration with
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structure & function. Collaborate with world leading researchers in membrane transport Generous employee benefits and access to flexible work arrangements Work with a multi-disciplinary team within
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of modular robotic platforms capable of automated construction and analysis of synthetic microbial strains. Macquarie is a university engaged with the real and often complex problems and opportunities