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Field
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Application dates Applications close30 September 2026 What you'll receive You'll receive a stipend of $41,555 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD (1.75 years
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(e.g. computer vision, deep learning, AI) and green life sciences (e.g., remote sensing, crop modelling, and food security), within the European funded project AgriscienceFM (Horizon programme), which
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to explore GNSS Reflectometry (GNSS R) as a novel, low cost, low power bistatic remote sensing technique optimized for nanosatellite platforms. GNSS R leverages signals of opportunity from existing
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analytics, geographical information science, satellite positioning, ubiquitous positioning, photogrammetry and remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies
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to classify biological and fire protection degradation in wooden façades on multi-story buildings by combining remote sensing-based façade inspection with microclimate modelling and performance
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in refining hydrocarbons. Emerging optical sensing technologies, including quantum gas LiDAR, offer the ability to detect methane concentrations remotely with unprecedented sensitivity and spatial
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to collaborate with national and international clinical and research teams. Interest in developing a PhD within the framework of paediatric leukaemia research. Additional Information Benefits Labour conditions
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herbivores space use behavior in relation to snow conditions, data is required at cm to m resolution. This PhD project will develop and apply remote sensing methods to advance terrestrial snow monitoring
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that does not reflect local reality and thereby create unfair comparisons. Your work will include measurements of greenhouse gases (CO2, CH4, N2O) using drones and various sensors, as well as remote sensing
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Department of Forest Ecology and Management Third-cycle subject area Forest Management Description of the doctoral project This PhD position focuses on social dimensions of ecosystem restoration. It