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bachelor’s degree (or equivalent experience) in software engineering or a related field. At least 1–3 years’ experience in full-stack development, with skills in HTML, CSS, JavaScript, Python, and one or more
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reputed refereed journals and presenting at conferences. Technical expertise in programming (e.g. python) and experience with high-performance computing are highly desirable. Experience in machine learning
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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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++, Python, and ROS/ROS2 Demonstrated experience with robotic middleware, control algorithms, and system debugging Familiarity with Git, CI/CD workflows, and Linux-based software environments Excellent
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Python; advanced knowledge of database design and experience and skills in developing for relational and NoSQL database systems; and systems design skills and expertise in systems analysis and design for
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multiple programming languages, including R, Python, MATLAB and/or shell scripting. Well-defined skills in the visualisation of neuroimaging and neuroscience results. The analysis and interpretation
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, investigate liquid-gas transfer of GHG emissions, design and conduct full-scale field sampling campaigns at partner utility sites, perform advanced data analysis using Python and other relevant tools, produce
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willing to develop and apply novel approaches that support an Indigenous-focused Ecohealth research program. Experience with statistical software (e.g., R or Python) is desirable along with an openness and
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), data classification, privacy, and compliance in an enterprise setting. Scripting skills (e.g., PowerShell, Python or C# for UiPath activities) desirable. Ways of Working & Delivery Experience working in
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experience. 3+ years of backend development experience in Python, Node.js, or Go. Demonstrated experience contributing to software/system architecture in SaaS or data platforms. Proficiency with cloud