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enhancing production-ready machine learning applications using Python, Spark and modern data science platforms. Collaborating with IT and business stakeholders to develop scalable data pipelines and integrate
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for the national Threatened Species Index . Balanced workload across a 5 day week on campus, leveraging your strong interpersonal skills and quick adaptability to systems like Python, R, and Jupyter notebooks. Based
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
: Demonstrated experience in software development (e.g. Python, R, JavaScript or similar) Experience working with research data, digital tools, or computational workflows Strong problem-solving skills and the
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
, with strong proficiency in languages such as Python, R, or JavaScript Demonstrated experience leading or contributing to complex technical projects, including architecture and system design Experience
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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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analysis and bioinformatics approaches, with programming ability in R, Python, and Jupyter Notebook. Experience with version control systems (Git/GitLab/GitHub) and workflow languages (e.g. Nextflow, Common
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
prototype A prototype that can support secure code review by producing patch trust scores and review recommendations. Required knowledge Essential Python programming, Machine learning fundamentals, Deep
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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