280 coding-"https:"-"FEMTO-ST"-"CSIC"-"U"-"https:"-"https:"-"https:"-"https:" positions in Australia
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the Code of Conduct and Values. Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on
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-making. • Coordinate internal teams and vendors to manage dependencies and delivery readiness. • Align with and actively demonstrate the Code of Conduct and Values • Cooperate with all health & safety
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learning in immersive technologies, UI/UX design, information visualisation, web design, front-end/back-end web technologies, artificial intelligence and/or creative coding, and the ability to contribute
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Scholarship code: IND-26124 This prestigious scholarship, established by a collaboration between La Trobe University and the High Performance Sport Institute (Singapore), will be awarded
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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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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 mission to create safe
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of the discipline). Align with and actively demonstrate the Code of Conduct and Values. Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your
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, with desirable experience in Kubernetes, Docker, and Infrastructure as Code tools like Terraform or ARM templates. Expertise in monitoring and optimizing ML/AI systems for reliability and cost-efficiency
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of students, partners and 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
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research databases (including REDCap) demonstrated high-level proficiency in R (or equivalent statistical coding environment) for analysis of large, complex datasets demonstrated experience working with