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projections. Demonstrated experience in working with large data sets. Strong programming skills (e.g. Python, R) and ideally experience in high-performance computing. Demonstrated ability to work in a team
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and implementing statistically valid field-based soil research, including proficiency in statistical analysis and data interpretation using modern software (e.g., R, Python). Excellent communication and
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variant analysis will be highly regarded (e.g. bulked segregant analysis, mapping population design, whole genome sequencing, long-read sequencing) Experience with R, Python, or equivalent programming
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
skills in at least one of the following languages: Python, C, C++, MATLAB, HDL, and proficiency using tools and software such as Altium, Vivado, VHDL, and microcontroller environments. The Area The
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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, testing, documentation, and code quality aspects. Desirable Experience developing firmware and/or software in a control systems context. Experience in python programming. Familiarity with working on GNU
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programming languages relevant to cloud development (e.g., Python, Java, Go). Demonstrated ability to design and build secure, reliable, and scalable systems. Excellent problem-solving, analytical, and critical
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) Assist the Data Analytics Specialist in developing and maintaining data pipelines (utilising Python and SQL) Maintain and optimise web and mobile tagging using Adobe Launch to ensure accurate attribution
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. Experience with cloud platforms such as AWS or Azure, and automation tools such as Puppet, Ansible, or Jenkins. Proficiency in scripting languages (e.g., Python, NodeJS, PHP) to streamline and automate system
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maintenance. Proficiency in programming languages such as Python, R, C#, and SQL. Familiarity with high-performance computing, cloud computing (e.g., AWS), GPUs, and DevOps tools, including version control