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abilities, cultures, sexual orientation, and genders. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence
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people, and people of all abilities, cultures, sexual orientation, and genders. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code to Prevent and Respond
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communities now and in the future La Trobe’s Cultural Qualities: La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our
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Trobe’s Cultural Qualities: La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and
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: Advanced Python coding skills, including experience building analytical models, automation workflows and production‑ready solutions Hands‑on experience developing AI agents or applied AI/ML solutions Strong
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experience working with coded statistical analysis tools or software packages, such as R a relevant bachelor’s degree, or an equivalent combination of training and experience, suitable for research
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particular focus on gender-based violence (GBV) prevention and response education and training. You will ensure Macquarie University meets its obligations under the National Higher Education Code to Prevent
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. Experience in the interpretation and application of policies in a tertiary education environment. Broad knowledge of Education Services for Overseas Students (ESOS) National Code and Australian educational
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suitability checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to successful completion of relevant pre-employment
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. Accordingly, the lecturer is expected to have solid experience in LLM calls, RAG, and copilot systems such as Claude Code or OpenAI Codex. He/she will lead the redevelopment of units (subjects) in software