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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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applicants will take place from March to April 2026. Awards for intake 2026 will be finalised by July 2026. Supported Areas for START Engineering Energy Resilience: Power electronic converters for distributed
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skilled and work-ready graduates. We currently have positions available at all levels, from Lecturer to Full Professor, in the following areas: Information Security: Mobile/distributed systems security
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design, modelling & analysis of conventional power, wind & solar farms Engineering design of transmission & distribution substations, electrical distribution systems of industries and commercial buildings
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operations management, risk management and operations research, such as demand forecasting, inventory control, procurement, manufacturing, distribution, warehouse and transportation simulation, optimization
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demand forecasting, inventory control, procurement, manufacturing, distribution, warehouse and transportation simulation, optimization and management. Motivated to develop and to teach curriculum in supply
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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), requirement analysis, design, testing, performance optimisation, databases, computer graphics, distributed systems, computer vision, and multimedia analytics. AI and Emerging Fields: Industrial IoT
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electrical power distribution system. Prior knowledge on power system condition monitoring would be an advantage. Experience in project work would an advantage. Share this job Facebook Twitter LinkedIn Apply