1,402 coding-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Australia
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare
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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 checks, including
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align with the Australian Code for the Responsible Conduct of Research, the Therapeutic Goods Act, the Privacy and Data Protection Act (2014), ICH-GCP/ISO 14155, the National Statement and other relevant
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Strong experience with Mulesoft Anypoint Platform development and support. Experience with DevOps practices such as code versioning, packaging, test driven development (TDD), continuous integration, test
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Associate is expected to contribute to the research team working on an ARC Discovery Project investigating the role(s) of long non-coding RNAs in cognition and intelligence awarded to A/Prof Kelly Clemens
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Crop Trait Improvement Teams. Adhere to the spirit and practice of CSIRO’s Values, Code of Conduct, Health, Safety and Environment procedures and policy and diversity initiatives. Role particulars
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workstreams and ideation sessions. Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct. Cooperate with all health and safety policies and procedures
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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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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