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. Develop reproducible, version-controlled pipelines and notebooks in R and/or Python for high-performance computing environments. Coordinate data generation with clinical and experimental partners, including
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
research software engineering. The Person The successful candidate will have: Demonstrated experience in software development (e.g. Python, R, JavaScript or similar) Experience working with research data
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. This role demands deep expertise in Databricks and Microsoft Azure. Proficient in data modelling, integration, and design, with hands-on expertise in SQL, Python/PySpark, Unity Catalog, and database schema
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experience with Computer Vision, Deep Learning and Programming using different languages including Python and C/C++. Experience using a range of computer systems and software applications. Strong attention
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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-series datasets; sound programming skills, with a strong preference for MATLAB; experience in other scientific programming languages (e.g. Python, R) is also valued; familiarity with international
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analytics, or related areas strong technical capability in relevant programming languages and analytical tools, such as Python, R, machine-learning frameworks, large language models, natural
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interactions Expertise with human in vitro co-culture models, including CD8+ T-cell responses, is desirable Expertise in omics and systems immunology Proficiency in R or Python programming for data analysis
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manner, or we could adapt alternative forms of LLMs like JEPA. Required knowledge Good Python coding and operational experience with LLMs. Basic Bayesian understanding.
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, Kubernetes). Experience supporting learning management systems (e.g., Moodle) and digital assessment platforms. Strong scripting skills (e.g., Bash, Python) for automation and system management. Excellent