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presents an exceptional opportunity for a suitably qualified and motivated individual to engage in applied research at the intersection of artificial intelligence , process monitoring , machine learning
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concise. Demonstrated competence in the use of word-processing and spreadsheet packages, including the ability to generate reports. Demonstrated ability to work autonomously as well as effectively as part
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this advertisement If you have any queries in relation to this opportunity or the application process, please contact our careers team on CurtinCareers@curtin.edu.au or 08 9266 9000 (option 3,1), quoting the reference
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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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ToF-SIMS operation and surface analysis techniques. Strong publication record and experience with grant applications. Experience in the supervision and completion of training of post-graduate students
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contribute to impactful multidisciplinary projects. As the Facility Lead and Research Infrastructure Specialist, you will take primary responsibility for the operation and strategic development of the IONTOF
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any queries in relation to this opportunity or the application process, please contact our careers team on CurtinCareers@curtin.edu.au or 08 9266 9000 (option 3,1), quoting the reference number. Please
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Cover Letter addressing the selection criteria for the role. If you have any queries in relation to this opportunity or the application process, please contact our careers team on CurtinCareers
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A document addressing the selection criteria (noted above) for the role (no more than 2-pages) If you have any queries in relation to this opportunity or the application process, please contact our
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the astrophysics of stars and compact stellar remnants. Experience with astronomical data processing, particularly involving radio telescopes. Proficiency with scripting in bash and Python in Linux environments