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language processing and other data mining methods, to large datasets (ideally urban or city-scale data). Proficiency in computer programming for data analysis, with experience using languages such as Python and R
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based computing environments, and programming or scripting skills (ie. PHP, Drupal, shell, python) and/or database management Appointment to this role is subject to the successful completion of relevant
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
languages such as Python, Fortran, C, R or Julia and experience with modern AI/ML frameworks. They have expertise in data formats, software engineering practices, performance profiling and benchmarking, and
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-solving skills, with proficiency in Python or R and relevant scientific libraries. Demonstrated ability to contribute positively to research group, School, and Centre activities. Note: Employment checks
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, custom ringtones, specific genres). Required knowledge Python programming Machine learning background Audio analysis
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widely used in micro-econometrics, and to calibrate macro models. Programming skills in languages such as Fortran, Python, Julia, Matlab, Gauss, etc. Demonstrated ability to conduct independent research
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skills, with demonstrated experience in bioinformatics and/or advanced statistical analyses (e.g. Python/R, Linux environment) Evidence of capacity to problem-solve and troubleshoot independently, with a
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Search, pgvector, OpenSearch), embedding pipelines and AI gateways. Proficiency in Python or TypeScript for data transformation, API development and prompt automation. Familiarity with GenAIOps/LLMOps
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experience Demonstrated expertise and experience in process simulation software (ASPEN/DWSIM, Excel VBA Programming, Excel and Python coding Demonstrated experience in engineering economic analysis including
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‑learning techniques in an applied or production‑like environment, including classification or predictive modelling. Experience working with Python and common data‑science libraries (e.g. pandas, scikit‑learn