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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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qualitative research methodologies including research skills and some experience with the use of qualitative data software such as NVivo. The candidate: Must meet all Curtin University HDR enrolment
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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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biological tissues. Expertise in Multiphysics simulation software (e.g., COMSOL) and programming languages (e.g., MATLAB, Python, C++). Experience with biophotonics applications, such as endoscopy, optical
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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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. 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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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
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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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also need to be comfortable with online video software, and to learn and deliver the 4Ds with close supervision, review its empirical foundations, and understand and apply its theoretical principles
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results accurately and draw meaningful conclusions to inform further research and process improvements. Background in modelling and simulation using simulation software. Background in Techno-economic