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to demonstrate results on formulating and testing different fair routing policies in route recommendation ADMs, their software, algorithms, and models, are often designed as “black boxes” with little effort placed
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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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the established theory, and apply the theory to a series of datasets consisting of configurations of individuals in space and time. The project will also develop and disseminate software to fit models and evaluate
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will design quantum-safe threshold encryption and/or authentication algorithms. The expected outcome is the design of methods, techniques and their software prototype to implement quantum-safe threshold
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resulted in many models of limited effectiveness. This project proses to take a Systems Architecture and Systems Engineering approach to neuropathic pain. Systems Architecture and Engineering is used
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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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-reality application development; modern AI techniques (such as computer vision or large multimodal language models); and/or human-computer interaction. Our industry partners are developing software
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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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, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both