19 post-doc-image-engineering-computer-vision Fellowship positions at Curtin University in Australia
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collecting and analysing interview and interactional data. This will enable the co-design, testing, and implementing of a new training program to improve how assessments are communicated with clients and
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-quality, competitive research and contribute to this research program. Demonstrate excellent project management skills. Demonstrate excellent communication skills, contribute to publications and
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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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being part of a team that supports the next generation of scientists and engineers? We’re on the lookout for a Senior Technical Officer to join our team in Kalgoorlie in a permanent, full-time capacity
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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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for (Selection Criteria): Essential: A doctoral qualification in a relevant engineering, computing, or physical sciences discipline. Demonstrated research expertise in data analytics, machine learning, artificial
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: Surface and materials science Microanalysis & mass spectrometry Isotope geochemistry and geochronology Mineral processing and engineering We enable critical research across sectors including mining and
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Mineral processing and engineering We enable critical research across sectors including mining and minerals, geochemistry, energy materials, environmental science, forensics, metallurgy and defence . Each
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at Curtin University. The Research Fellows will lead studies suited to their specific skill set. This may include studies aimed at a) enhancing measurement technologies, b) children utilising technology to
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activities draw together academic, research and professional staff from a variety of science, engineering, and computing disciplines to tackle unique and demanding challenges in radio astronomy and beyond