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learning, offers powerful solutions to automate these tasks and provide reliable real-time information. This doctoral project is part of a 5-year research chair on Computer vision applied to the swine sector
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Significant experience in interacting with data available in buildings (e.g.: building automation systems (BAS), internet of things (IoT) sensors, control systems, etc.), to extract operational and energy data
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and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts). Automate common data processing workflows in bash, R, or Python. Maintain version control using GitHub and contribute
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safety, sample preparation, or space applications. Relevant research experience in the integration, automation and deployment of complex bioanalytical protocols through microfluidic technologies such as