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to learn robotics or human-centered research methods will also be considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS
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funding, and provide insights that drive strategic decision-making. You’ll work with tools such as SQL, Python, Tableau, Power BI and Excel to develop reports, streamline processes, and communicate findings
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of programs for analysing genetic data via parallel programming. Manage, debug and improve code. About you Degree qualification in Computer Science or related discipline. Proven ability in C/C++, Python
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experience. Proficient with database, data pipeline, and workflow management tools such as Snowflake, JIRA, Wiki, DBT, Apache Airflow, Python, Linux, and GitHub. Advanced skills in designing, testing, and
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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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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
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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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at least one modern programming language (e.g., TypeScript, Python, JavaScript, Node.js, C#, Java). Hands-on experience with AWS, especially serverless services (e.g., Lambda, CDK, S3, IoT Core, API Gateway
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approaches used in the molecular life sciences practical experience with research computing tools and languages (e.g. Python, R, shell scripting) proven ability to develop reusable training resources