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(both relational and NoSQL) such as Postgres, MySQL, Oracle, and DynamoDB. Familiarity with frontend JavaScript frameworks (e.g., React, Angular, Vue) and exposure to other languages such as Python and
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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis
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reasoning and robotics C/C++ programming and knowledge Python programming
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response, governance, or consulting. Experience managing security controls such as SIEM, firewalls, endpoint security, or secure email gateways is preferred; alternatively, proficiency in Python and
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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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techniques. It may also include hardware development of wearable assistive devices that use audio and haptic feedback. Required knowledge Image processing Computer vision Deep learning Programming (Python, C
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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