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The project will develop new deep learning methods to improve machine vision comprising several sensors in collaboration with industry partners 4AI Systems and 4Tel Pty Ltd. In this project we will
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the Digital Systems and Intelligent Sensors group (DSIS). within the School of Electrical Engineering, Computing and Mathematical Sciences. DSIS endeavours to utilise technology to assist people with
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understanding the potential implications for biology, but also for identifying shallow subsurface water resources that could be accessed by crewed missions. Secondly, there is a diversity of satellite sensors
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to incorporate diamond quantum sensors into other materials like glasses and polymers to add sensing functionality to optical fibres and polymer-based bioscaffolds.The project involves the processing and
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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
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time-series data, specifically energy, sensors and IoT data, is required Proven commitment to proactively keeping up to date with discipline knowledge and developments Demonstrated ability to undertake
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this role you will: work closely with a team of academics and researchers as part of world-leading research program develop new techniques based on 3D sensor perception and deep learning to estimate forest
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of this position is to provide practical data driven solutions to the mineral processing industry across a range of areas, including soft sensor development, dynamic modelling of mineral processing equipment
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providing solutions in the electronic and programming domains, specifically relating to sensors, interfacing circuitry, and the programming of the selected controllers. To be successful in this position
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with CSIRO – Australia’s National Science Agency! CSIRO’s Autonomous Sensors Future Science Platform (AS FSP) focuses on accelerating the generation of new tools to grow the digital decision making