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, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning Good knowledge of machine learning (e.g. Object Detection
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framework and execution of projects > Understanding of financial products, market dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in
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framework and execution of projects > Understanding of financial products, market dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in
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code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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code via differential testing)We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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considered. Experience of using machine learning algorithms and toolsets, ideally in a research context. Strong programming skills (e.g., Python, Java, C++). An interest in physiological signals. Home Student
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; experience in other relevant programming languages such as R, Java, C#, Rust or C++ is a great advantage First experience in the development of AI models with relevant frameworks such as PyTorch, Huggingface
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professional meetings within the research group, weekly research colloquia, shared lunches, and “Friday coffee” sessions to wrap up the week. Formal and informal gatherings provide opportunities to exchange
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analytical skills have a strong programming background with experience in using Python, C/C++, and/or Java, etc. strong interpersonal skills with demonstrated ability to communicate (written and oral in
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Holistic Economic Modelling for Disaster Resilience Decision-making (CSIRO Industry Phd Scholarship)
programming languages (e.g. Python, Java, C#). Previous experience in an industry environment will be well-regarded. How to apply The first step is to email Professor Clevo Wilson and Dr Alan Woodley