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the smooth operation, maintenance and development of Curtin’s suite of Electron Microscopes (SEMs and TEMs), optical systems and EM sample preparation labs. You will deliver high-quality technical expertise
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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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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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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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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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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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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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implementation of the heuristic methods would be the hallmark of this study. Aims The proposed study aims to offer a paradigm shift in underground mine planning process through an integrated model that solves