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compartmental models for RSV developed within the STAMP-RSV program by tailoring an established software library for individual simulation to the Australian RSV transmission context. Information to parameterise
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comprising one or more of: a bachelor’s honours degree in a relevant discipline (computer science, software engineering), which includes a research thesis or project, with an overall average grade equivalent
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are deeply committed to environmental stewardship and eager to apply their specialized skills in AI, data analysis, software development, and electrical or energy engineering to make a significant and tangible
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Scholarship in CSIRO Industry PhD Program - Project 1: Resilient & Practical Quantum-Safe Threshold Cryptography Job No.: 678541 Location: Clayton campus Employment type: Full-time Duration: 4-year
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Trailblazer builds new research capabilities and drives commercialisation outcomes in the resources technology and critical minerals sector. There will be opportunities to be involved in the Trailblazer Program
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. • Proficient computer skills, including competence in the use of MS Office and other software packages, especially word processing, database and spreadsheet skills. About Swinburne University of Technology
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chemoreceptor activity. Your work will bridge both computational and experimental research, including validation using in vivo models, optimising light delivery systems, and aligning in vitro and in vivo findings
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. Demonstrated high level of computing skills, including competency with qualitative analysis software (NVivo), spreadsheets and data management systems. Experience in contributing towards producing conference
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, conducting interviews and focus groups, developing and managing surveys, and analysing qualitative and quantitative data including skills with appropriate software would be valuable. An interest in mental
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record in medical research and innovation. The project will benefit from access to advanced computing facilities and specialized software for deep learning model development and CT scan analysis