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understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches. The successful candidate will: Investigate mechanisms of T-cell development, aging, and thymic
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 22 days ago
deep learning theory and practice. Applicants with expertise in probabilistic modelling, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine
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computer chips. Your role will be to design processes for transforming resources into sustainable materials by modeling reaction pathways from first principles. The project will collaborate with a broad
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-cell compartment, develops and deteriorates with age, and how these processes can be understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches
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or influence behavior, practice, procedures, or policy at the relevant scale. A co-creation model of engagement with the external partner is encouraged. Consider using a diagram to clarify the intended flow
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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to optimize fluid flow, heat transfer, and current distribution within the electrolyzer. • Model key parameters such as overpotential, gas diffusion, ion transport, and pressure drop to improve overall
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) support major BIM platforms, such as Revit and AutoCAD; (c) develop BIM-related functional modules, including model parsing, data interaction, automated modelling, and collaborative design; (d
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digital elevation model (DEM). Experience in using landscape evolution, flow routing, sediment transport, or hydrological models. Experience with drone survey and data processing. Field experience in
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oversee the operation of the state-of-the-art analytical facilities (LA-ICP-MS, FEG-SEM) and conduct research on combining geochemistry, petrology, and modelling to better understand the signs of a