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Field
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description: The PhD project aims to investigate how tree-derived defense metabolites influence the structure and function of microbial communities, including both pathogenic and beneficial microbes. The focus
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link structure-property relationships from DFT, MD, phase-field, TEM/SEM, and other multimodal datasets from simulation and experiment Develop benchmarking protocols and toolkits to evaluate AI models
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Engineering, or related fields. Solid background in geotechnical earthquake engineering, structural dynamics, and finite element modelling Experience in multi-hazard risk assessment is desirable. Experience in
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& Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and opinion dynamics. Our goal is to gain a deeper understanding of
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advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies must account for these uncertain drivers and their dynamic interaction with
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. Familiarity with dynamical systems is highly valued. Knowledge of neuroscience and muscle physiology is beneficial. Experience with MATLAB or Python for data analysis. Ability to work independently as
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the structure and function of chromatin-associated complexes involved in gene repression. About Us: We are a dynamic and international team working within the South Australian immunoGENomics Cancer Institute
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intelligence, epidemiology, health economics, molecular diagnostics, and public health. It is structured around six scientific work packages and three real-world use cases (UCs), with continuous input from a
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sciences and public health. It is structured around six scientific work packages and three real-world use cases (UCs), with continuous input from hospitals, government agencies and healthcare organizations
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Center (CoaST). These facilities are now equipped with modern graphical user interfaces, unified communication protocols, and structured data pipelines that collect and store experimental data in dedicated