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Field
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neurodevelopmental huntingtin (HTT) modulation across multiple spatial and temporal scales using dedicated mouse models of controlled HTT expression, combined with advanced non‑invasive functional MRI and
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awarded 1 Eligible courses Enrolled in HDR Spatial Sciences Eligibility criteria Australian or New Zealand citizen or an existing Australian Permanent Resident Full-time enrolment Successful recipient must
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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data integration, and computational tools that preserve the spatial provenance of molecular and physiological datasets. The cluster hire described in this announcement extends these strengths toward
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align with the Aus-ROC CRE program of research, the focus could be clinical, epidemiology, public health, health services, psychosocial, linguistic or spatial analysis. Student type Current Students
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field. Expertise in analysis of single cell or spatial sequencing data is required. Experience in analysis of bulk RNA and whole exome sequencing data, and genotyping array data is preferred but not
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the technology of 3D Additive Manufacturing in terms of spatial resolution, speed, scalability, and multi-material printing. The joint advances of Research Areas A and B will create a “technology push”. Building
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Earth system models on different temporal and spatial scales to answer key questions of global change. Doctoral candidates of the IMPRS-ESM contribute to the development and application of Earth system
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requirements are Experience in working with large-scale spatial-temporal traffic and/or travel behavior data, e.g., loop detector, floating car data, GPS data, cellphone data. Experience with transport
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evaluation of a hierarchy of Earth system models on different temporal and spatial scales to answer key questions of global change. Doctoral candidates of the IMPRS-ESM contribute to the development and