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of the following areas: machine learning, energy system modelling and simulation, or digital twin systems. Proficiency in programming languages (e.g., Python, MATLAB, or similar) and experience with
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, such as Python and MATLAB (by MathWorks), for data analysis, simulation, and automation tasks. The successful candidate may be required to complete a number of pre-employment checks, including: right
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visualisation, and programming languages like Python or R, along with understanding of data management and machine learning; exemplary experience and confidence in undertaking all aspects of stakeholder
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programming languages such as Python, R, or JavaScript. Integrate geospatial data with other systems and applications through APIs and SDKs. Maintain and enhance existing geospatial processes and workflows
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, Python, MySQL, and Oracle Web development Virtualization technologies Cloud infrastructure management Networking Cyber Security Candidates with expertise in multiple areas will be highly regarded. Please
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. Proficient in Python, database querying, and data visualisation, you excel in process improvement, automation, and change management. With excellent organisational, administration, and customer service skills
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experience Proficiency in Python programming and experience with databases, SQL, and data modelling Demonstrated experience developing data pipelines and ETL processes using tools such as Apache Airflow
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processing particularly for multi-modal (hyperspectral, RGB, LiDAR) and high-dimensional data. Experience in programming languages relevant to technical applications, e.g. Python, Matlab, - R and corresponding
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, judgment, and initiative Familiarity with Python and Callista data is desirable About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something
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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