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Foundation Data Science Collaborative Research Programme. In other arms of the collaboration, deep learning analyses of pregnancy ultrasound images will lead to measures of fetal and placental anatomical
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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Status: Closed Applications open: 3/07/2024 Applications close: 3/10/2024 View printable version [.pdf] About this scholarship Description/Applicant information CSIRO's Industry PhD (iPhD) program
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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short courses in the core subjects of this PhD programme including process intensification and green chemistry. This project is part of the Process Industries: Net Zero (PINZ) Centre for Doctoral training
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of transmission electron microscopes and/or scanning electron microscopes Knowledge of artificial intelligence and machine learning and their applications in electron microscopy Knowledge of computer programming
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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the 'Apply' button, above. Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F
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are encouraged to submit a research proposal that aligns with UCALL's research programme and encompasses multiple areas of law. Your job Over a period of four years, you will conduct a PhD research under the
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Assistant (one month) will ensure participant compliance with study procedures. Under the direction of the PI and Program Coordinator, perform research-related administrative support tasks, including research