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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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management, bonds, case studies in finance, financial modelling, and machine learning in finance. Teaching opportunities are also available in the state-of-the-art RMIT Trading Facility, where students learn
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including substantial record of research outputs in high quality outlets. Demonstrated ability to coordinate and teach large courses in a range of electronic, embedded systems and computer engineering areas
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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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standards. High-level proficiency in a range of computer software applications, with a focus on accuracy, efficiency, and the ability to quickly learn new systems and tools. Why Join Us? Be part of a dynamic
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to draft correspondence of a very high standard to internal and external stakeholders. Demonstrated high level of computer literacy including word processing; presentation software (e.g.PowerPoint); email
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computer literacy in Microsoft Excel and Microsoft Office suite, student record systems; and the ability to learn new systems quickly. Demonstrated ability to rigorously follow established procedures and
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at the RMIT Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT’s Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning
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. 6. Sound analytical and problem-solving skills 7.Demonstrated high-level computer skills using Microsoft Office suite 8.A proactive attitude towards problem solving with an ardent sense of endeavour
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one-on-one coaching sessions as well as workshops. To be successful in this position, you’ll have / you’ll have as a minimum: Expert knowledge of a range of Adobe tools with a capacity to quickly learn