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related activities. Contribute to project-specific technology scan and review reporting. Contribute to research design, data collection and statistical analyses. Contribute to software development
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Transfer. Support commercialisation of research outputs through patents, licensing, or spin-offs. Job Requirements: PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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conditions. The candidate is expected to conduct both theoretical development of methods and experimental validation of the developed methods. Other research responsibilities include supervising junior
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and mitigations. The candidate is expected to conduct both theoretical development of methods and experiment design to validate the developed methods. The candidate is expected to work with other
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expected to undertake teaching and educational responsibilities for the training of medical students and postgraduate research students. Teaching methods will include extensive use of team-based learning and
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dynamics, bubble formations, and trader behavior. Using quantitative methods, econometrics, and statistics, we aim for innovative insights into asset market mechanics. In this role, you'll manage research
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to developing novel methods and techniques, exploring diverse applications, and investigating use and systems. Research that connects with SMU’s research focus areas in Digital Transformation, Sustainable Living
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skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research
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learning techniques relevant to energy forecasting. 3) Technical Proficiency Skilled in tools such as Python, R, MATLAB, SQL, and Excel; familiarity with energy modelling software is a plus. 4) Domain
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: Design, optimise, and operate ultra-cold atom interferometry experiments for multi-axis acceleration measurements. Develop methods to suppress drift and enhance sensor stability for extended-duration