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Data Commons of Australia (LDaCA ) project. The role requires advanced data transformation and coding skills in a research context and the incumbent will be working in Python, R, Javascript, SQL and
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, analytics, or software development. Proficiency in scripting and programming languages (e.g. SQL, Python), and experience in developing data solutions across desktop and web platforms. Practical experience
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in Python programming and Linux environment. An emerging profile in research in the discipline area. Evidence of publications in reputed refereed journals and presenting at conferences. Evidence of
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, random forests, etc.), and languages like R, Python, or Julia for health data analysis. Experience in backend/frontend development, data visualization, and web apps using JavaScript, Python, and Linux
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using programming languages such as R, bash, and Python is highly desirable. The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia
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information systems. Proficiency in SQL, Python, or other programming languages used for data manipulation and ETL processes. Experience with cloud platforms, such as AWS or GCP, for data storage and processing
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(both relational and NoSQL) such as Postgres, MySQL, Oracle, and DynamoDB. Familiarity with frontend JavaScript frameworks (e.g., React, Angular, Vue) and exposure to other languages such as Python and
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to optimise research outcomes. Advanced Data Cleaning and Analysis: Clean,engineer, prototype, and deploy statistical and machine learning models using Python and/or R to solve complex problems; maintain and
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microcontroller platforms and FPGAs (with proficiency in HDL such as Verilog) development of hardware control software stacks (with proficiency in C++ and Python) at the level of the system software engineer
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being hired, the other one will be hired at the University of Queensland. The rapid advance of smart technologies applied to the agriculture and livestock sectors, for instance, drones, eartags, weather