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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: Open 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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deep learning, imaging and data analysis would be helpful for this project. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts
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management skills. Candidates with laboratory skills and imaging are desired for this project. Must be eligible to enrol in PhD programs at Curtin. Application process Please send your CV, academic transcripts
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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