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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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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
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and planned satellite based hyperspectral sensors (e.g. Kanyini, PACE, EnMAP, EMIT, PRISMA), in addition to current multispectral sensors (e.g. Sentinel-2, Landsat 8/9, Planet Dovesats) to map 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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. Proficiency in programming languages such as Python, C++, or ROS (Robot Operating System). Strong understanding of mechanical and electrical systems, including sensors, actuators, and motors. Benefits Visit our
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Operating System). Strong understanding of mechanical and electrical systems, including sensors, actuators, and motors. Benefits Work life balance Professional development opportunities Generous leave
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appointed research team working on two parallel themes of an ARC Discovery Project under the guidance of Prof. Itai Einav. The first theme will develop and characterise novel paradigm of deformable sensors
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Discovery Project under the guidance of Prof. Itai Einav. The first theme will develop and characterise novel paradigm of deformable sensors for geotechnical engineering purposes, to measure stresses