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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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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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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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Specialist, you will take primary responsibility for the operation and strategic development of the IONTOF M6 ToF-SIMS instrument, providing expert guidance, high-level training, and scientific leadership in
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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
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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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your interest and experience A document addressing the section criteria (2 pages max) If you have any queries in relation to this opportunity or the application process, please contact our careers team
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the reliability and validity of novel approaches to data collection in the alcohol research field. Manage research project ethics and recruitment processes, liaise with key partners to develop innovative approaches
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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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, gender, economic participation and governance. Application process Program Timeline Applications Open: 1 August 2024 Applications Close: 11:59pm, 14 August 2024 (AEST) Outcome: 9 September 2024 Online Pre