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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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: Competency in automating tasks using Python, Ansible, REST APIs, and related tools. Monitoring & Troubleshooting: Expertise in network monitoring and diagnostics using tools like SolarWinds, Splunk
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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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, statistics or mathematics. Demonstrated proficiency in at least one analytics scripting language (such as R, Python, Julia, MATLAB). Demonstrated ability to write packages/modules and distribute via CRAN/PyPI
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laboratory, and R/Python geospatial programming skills are preferred, or a willingness to quickly learn these skills. The ability to undertake fieldwork is essential, hence the candidate must be able to pass a
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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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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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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