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Field
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related to equity, diversity, and inclusion Preferred Qualifications Advanced knowledge of R, Python, or other coding language for public health analytics. Some knowledge of quantitative research methods
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Basic Knowledge of RF systems and computer networks is a plus Preferred Qualifications - Experience with Linux – Knows C++ and Python - Knowledge of basic principles in one or more of the following
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science or (applied) machine learning, decision making, and other closely related area. Expertise and experience in computer programming, especially in Python and C++. The path to Adelaide University We
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in analytical tools (e.g., MATLAB, Python, GIS, or similar). Knowledge of AI and Multi-Agent Systems. Proven ability to analyse complex information and summarise appropriately Ability to demonstrate
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). Strong programming skills in Python or a similar language (assessed at: application/interview). Ability to set up and configure software environments, eg installing simulators or libraries (assessed
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modeling) or adjacent fields with engineering impact. (4) Fluency in prototyping and software development (e.g., Python, C++, CUDA, or ML frameworks) and interest in open-source collaboration. Position
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software. Experience with MATLAB, C++, or Python. At least 7 years’ relevant experience with modeling of electric motors and electromagnetics. Experience in designing and fabricating electric motors
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python
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., instrumental variables, propensity score matching, and treatment effects). Familiarity with one or more statistical software packages (e.g., R, Stata, Python) for data analysis. Research Aptitude: Demonstrated