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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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correct spelling, grammar, punctuation, composition, text editing, and excellent proofreading skills. Demonstrated experience using word processing applications, creating spreadsheets and reports, and
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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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. 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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(EVs), and cell-free DNA (cfDNA) methylation signatures. Your role will involve the coordination between clinical and research teams, ensuring smooth sample collection and processing. You will also
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to organize conferences, seminars, reading groups, workshops, and other related research activities; (ii) play a central role in the daily operation of the upcoming new Taught Postgraduate programme(s) offered
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, and the processing and shipping of specimens. Other duties will be assigned as needed. Graduation from high school OR a General Education Diploma and two years of laboratory experience OR two years
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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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may include some or all of the following: interview data; self-report data; observational data in the home; health specimen collections. Review data for document accuracy and processing as needed
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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