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Field
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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of conceptualization, design, modeling, fabrication, and experimental validation of novel robotic and mechanical systems, including soft actuators, hybrid robotic mechanisms, sensing-enabled structures, and human
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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exhibit hallmarks of active matter. This PhD project aims to develop theoretical and computational active-matter models of early mouse embryogenesis that couple collective cell mechanics with gene
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statistical techniques (e.g., multilevel modeling, SEM) or qualitative analysis (e.g., grounded theory, thematic analysis). Experience with grant writing or collaborative team science. Physical Requirements
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 29 days ago
research methods. The ideal candidate will have expertise in experimental and survey research design, advanced statistical analysis (e.g., multi-level modelling, mediation/moderation analysis, longitudinal
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and granular substrates. In this role, you will perform numerical simulation and reduced-order modeling of naturally-shaped granular materials interacting with specific foot structures. You will also
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neutron scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial intelligence models. The PD will work closely with both the PhD candidates and PIs within
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ethical and biosecurity requirements; curate samples to establish a national avian bone-marrow biobank; and develop integrated disease-modelling pipelines to support risk-based avian influenza surveillance
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis