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to improve CI/CD pipelines by reducing deployment friction and increasing engineering efficiency and visibility. Strong knowledge of Python, shell scripting, and REST API integration is required for automating
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-based natural language processing demonstrated through academic courses or projects. Experience with deep learning methods and sequence-to-sequence models, such as Transfomers Experience coding in Python
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data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and
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, and scripting in Python. Relevant certifications (e.g. Security+, CISSP, AWS/Azure) are highly regarded, along with strong communication skills and a commitment to continuous professional growth
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) Proficiency in R and/or Python programming for data analysis Strong written and verbal communication skills, including scientific writing Demonstrated previous experience and competency in the management
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identity governance systems, including Saviynt or similar. Strong scripting and automation skills (e.g., PowerShell, Python, SQL). Knowledge of hybrid identity models (on-prem AD and Azure AD). Experience
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to the technical lead of Cardiac AI. The successful candidate will have demonstrated experience in and be responsible for: Develop and oversee the development and maintenance of Python scripts to merge data extracts
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highly desirable. Strong computer programming experience, preferably with Matlab, C++, or Python. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships
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programming language (Python, PHP, and/or Perl). Please refer to the position description for full details. UNSW Benefits and Culture 17% Superannuation and leave loading Flexible working Additional 3 days
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, and skills in modelling & programming tools such as SINCAL, PowerFactory, OpenDSS, PSCAD, Python, Matlab, R, or Julia would be desirable. For full details about this role, please review the Position