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essential. Excellent organisation and problem solving skills are expected and experience in data wrangling, processing and visualisation using R or Python would be advantageous but not essential
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with Python or C. Solid understanding of linear algebra, calculus, and probability theory. Strong background in machine learning and deep learning is highly preferred. The ideal candidate will have
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skills in fNIRS data collection, data mining techniques and data modelling (Python/Maltab). Lab Head: Professor Colette McKay, Translational Hearing Research Lab Contact: DGao@bionicsinstitute.org Project
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Learning, Dynamical systems theory or knowledge of some of the above and willingness to learn other fields. Must have Python, R or Matlab programming experience. Project funding Project based scholarship
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software applications commonly used in teaching (e.g. Office 365: Word, Excel, Teams, and learning management systems such as Moodle), as well as software packages (R, Python or SAS) Commitment to follow
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background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally