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Learning-related field. Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in deep learning, transformer
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. The successful candidate would work with an international network of researchers from the University of Adelaide, University of Tasmania, University of Melbourne, University of Copenhagen and the Norwegian
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quantitative methodologies, especially for instance in the areas of econometrics (microeconometrics), statistics, and economic modelling. Demonstrated knowledge of statistical and econometrics software packages
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conversion devices. This position is for a materials scientist to work on the design and developing of materials for electrocatalysis applications. Work includes synthesizing nanomaterials with well-defined
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, data sciences, and/or software development. Effective communication skills, including the ability to present research findings to both technical and non-technical audiences and engage in stakeholder
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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