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This project aims to develop a computer vision system capable of detecting and classifying domestic geographic landmarks in images and video content. By categorizing locations such as “childcare
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Image processing and computer vision Experimental data analysis and uncertainty quantification Piezoelectric actuation, acoustic systems or electronic driver development Eligibility and Project
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will also have: Experience working in exams within higher education Previous administrative experience with high attention to detail High-level computer literacy, including excellent proficiency in
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. strong computer literacy and is proficient in using a range of software programs and digital platforms. relevant to research settings e.g. Endnote, NVivo, SPSS, Canva, etc Sponsorship / work rights for
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. Strong communication and stakeholder-management skills. Sound problem-solving skills and the ability to manage competing operational priorities. Basic computer literacy and the ability to use maintenance
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Computer Systems 1 Bachelor of Engineering (single or double degree) Double degrees must include one of the engineering disciplines permitted and the Bachelor of Business (Management) Aerospace Mechanical
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Reality, Artificial Intelligence, Brain Computer Interfaces, Big Data demonstrated ability of development and delivery of automation and innovation programs experience in people management, including
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, procedures and reporting requirements Strong computer skills including Microsoft Office applications and data management tools Ability to work independently, follow procedures and solve problems safely and
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skills. Advanced time management, organisational and problem-solving skills, including the ability to meet deadlines. High proficiency of computer literacy, working with a range of computer systems and
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model