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teams. Experience with genetic or genomic data, large-scale analysis, AI/ML, R or Python would be highly regarded. If you are excited by the opportunity to combine data, technology and science to address
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skills in Python and experience developing, implementing, and testing computational models or research software. Experience working with large and complex datasets and applying appropriate data management
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coding capability in Python, SQL or similar languages, with experience in version control, testing and automation. Hands-on experience with AI platforms such as Microsoft Copilot, OpenAI, Azure AI Foundry
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
desirable. Experience with Python, JavaScript or other scripting languages is highly desirable, particularly for automation and security-related use cases. Effective communication and stakeholder engagement
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or equivalent experience in software engineering, robotics or related discipline demonstrated experience developing software solutions in agile or scrum environments strong programming experience (e.g. Python, C
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ideas and approaches in support of providing computing services to researchers or clients. Desirable Knowledge of programming languages (such as Python) and source code management tools. Experience
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, data science, or related - Strong programming skills (Python and/or R) - Experience with machine learning or data analysis - Knowledge of deep learning frameworks Application Procedure Interested
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hydrological processes Strong scientific programming and numerical modelling skills, including proficiency in Python or a similar programming language Experience with field-based research, data analysis and/or
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. Proficiency in programming languages and analytical tools such as R, Python, and machine learning frameworks. A strong track record of research outputs, including publications in high-quality peer-reviewed
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languages such as Python, Go, Rust or C. Containerisation technologies including Docker and Kubernetes, along with associated runtimes such as containerd and runc. Cloud-native technologies, distributed