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2025 HDR Scholarship - Intelligent Sensing & Perception Laboratory Postgraduate Research Scholarship
, or computer science Must have a first class honours degree, MPhil or equivalent qualification Successful recipients must also not be in receipt of any other scholarship Application process Future students, please
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process Step 1: Access application form Application form can be accessed via the ‘My Studies’ tab in OASIS or via the ‘Apply Online’ button on the top right-hand side of this page Step 2: Complete Complete
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abstraction from paper and electronic medical records. Maintain logs of patient screening, treatments, and visits. Data entry, management and calculations using a computerized database, word processing and
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to conduct the annual National Fellowship Program selection process. The online application portal is located here . Review our online application portal user instructions here . The deadline for all
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in coastal and riverine environments. As a subject matter expert, the Senior Coastal Modeller will leverage expertise in coastal/riverine physical processes, and/or coastal/riverine engineering to
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objectives. Recognising and valuing the different contributions people bring to this process. Achieving Results Consistently meeting agreed objectives and success criteria. Taking personal responsibility
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approaches are achieved and outputs are produced. Assists in outlining clear project goals and deliverables and communicates with different working groups to avoid duplication of work and processes. Monitors
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treatment effect models. Ensure data quality by employing rigorous data cleaning procedures and by documenting all processes and coding steps transparently. Methodological Development Contribute to selecting
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. Application Procedure Application deadline Application deadlines are updated at least once a year. In most cases, they are in the same period as the previous year. You can find the current dates here
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Analysis and apply today! This work will advance novel research focused on sensor-based in-situ process monitoring, data correlation to end part quality, data driven machine parameterization, and data