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Field
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drones can capture visual and thermal imaging at a very high resolution, suitable for detecting photovoltaic modules and the cleanliness of solar panels. These images and other data can be processed by
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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You Completion or near completion of a PhD in the computer science or relevant field. Demonstrated experience with multi-modal imaging (RGB, thermal, spectral) and 3D data acquisition (e.g., LiDAR
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. Home to world-class faculty and cutting-edge facilities for high-resolution imaging and advanced behavioural analysis, QBI is a powerhouse of scientific excellence. To drive targeted impact, the
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. Selection Criteria Level A 1. A PhD in Remote Sensing, Plant phenotyping, Computer Vision, Machine Learning, or a related field. 2. Strong experience in image processing and computer vision, particularly
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as required. About you PhD in a relevant field advanced skills in imaging data analysis, statistical analysis tools, and research reporting. experience in research, data capture, analytical skills, and
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Centre for Forensic Behavioural Science Full time, fixed term position at Alphington, Victoria Stipend of $40,000 p.a. for 3 years About the Scholarship We have an exciting PhD scholarship
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, the aim of this project is to develop and validate an experimental paradigm that can describe the dynamic processes underlying C2 agility and to characterise the situational factors by which C2 agility can
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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industry collaboration. Please see the full list within the Position Description. Qualifications A doctoral qualification in Exercise and Sport Science. Candidates who may not have PhD but have extensive