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for – Selection Criteria: Essential: A PhD in remote sensing, geoinformatics, computer vision, or a related discipline. Demonstrated expertise in hyperspectral remote sensing, including pre-processing (e.g
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TOFMS, TOF-SIMS, imaging techniques) and a good understanding of plant/ microbial processes and early life. In addition, you will have an excellent record of publication in the field of organic
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TOFMS, TOF-SIMS, imaging techniques) and a good understanding of plant/ microbial processes and early life. In addition, you will have an excellent record of publication in the field of organic
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Status: Closed Applications open: 19/09/2025 Applications close: 19/10/2025 View printable version [.pdf] About this scholarship Description/Applicant information Forrest Research Foundation PhD
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TOFMS, TOF-SIMS, imaging techniques) and a good understanding of plant/ microbial processes and early life. In addition, you will have an excellent record of publication in the field of organic
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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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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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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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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research