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procedures provide guidance to students regarding exam processes, including those utilising computer programs to conduct examinations supporting students who require adjustments to fully participate in
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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Presence is the subjective feeling of "being there" that differentiates virtual reality (VR) systems from other forms of computer interfaces, and has long been thought to be beneficial in
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opportunity Are you excited by the opportunity to apply machine learning techniques to discover new solutions to human health? Early detection and treatment can prevent the progression of coronary artery
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membership to Macquarie University Sport & Aquatics Centre Access to Macquarie University Library, (borrowing, printing, computer access and databases) Access to employee flu shot program and employee
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functionality apply knowledge of WiFi protocols and sensing to real-world engineering challenges support integration of AI and machine learning approaches into wireless systems collaborate with academic staff
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are at the end of life. About You A tech savvy individual, you are proficient with a range of computer applications, information systems, and adept to learning new technologies, enabling you to troubleshoot and
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institutional policies. To be considered for this role, you must hold a doctoral qualification in operations research, operations management, business analytics, data science, machine learning, or a closely
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external customers • Good written and verbal communication skills • Ability to work well in a team and autonomously • Intermediate to Advance Computer Skills • Flexible working hours including 6am starting
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Advisory System, or data from other implantable or wearable devices. This involves consideration of both feature-based machine learning or data science approaches and neural mass parameter estimation