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such as drone operation, photo-imagery, LiDAR and ArcGIS Survey123. Develop and maintain custom scripts and automate geospatial workflows using Python and FME. Administer and maintain Curtin University's
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at least one modern programming language (e.g., TypeScript, Python, JavaScript, Node.js, C#, Java). Hands-on experience with AWS, especially serverless services (e.g., Lambda, CDK, S3, IoT Core, API Gateway
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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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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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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. Proficiency in scripting (e.g., Python, Bash) and working within Linux-based computing environments. Experience with high-performance computing resources and automated data pipelines. A track record of
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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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Matlab, Python or similar. The position is located at Curtin University in Perth, WA Application process Please contact us via the EOI form with the following Curriculum vitae Academic transcripts A brief
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on optimisation techniques and differential equation discretisation schemes will be developed for solving the developed mathematical models. Computer codes in Python/Matlab/R implementing these models and numerical
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science and machine learning Knowledge with Python or Matlab. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR