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technologies on economic systems, the economics of AI), behavioural economics, game theory, microeconomics, time series analysis, big data, and machine learning. Proficiency in statistical software such as R and
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responsibilities. Industry engagement involves promoting school programs, building industry connections, and participating in consultancy projects, including training needs analysis and material development
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to enhance conversion rates. Client acquisition and Competitor analysis: Collaborate with the nationwide team and Hanoi SAEM to contribute to client acquisition strategies for corporate programs, supporting
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apply financial knowledge through market data in trading simulations and workshops. You'll guide them in multi-asset portfolio and risk analysis, hedging, money market, and foreign exchange trading using
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, implementation of the adobe-marketing suite to improve user experience on RMIT digital assets, web statistics analysis and search engine optimisation under supervision. It is also this role’s responsibility
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analysis. Interdisciplinary collaboration. Critical thinking. Qualifications and requirements The candidate should have a PhD in a topic relevant to regeneration and a track record of undertaking and