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Research Assistant on the AI Sprayer project plays a key technical and team leadership role, primarily focused on advancing the system's computer vision pipeline, including visual odometry and plant-species
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involve advanced data analysis, simulation, and optimisation to support the development of scalable and policy-relevant energy solutions. Working within an interdisciplinary research environment
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the work package including the measurement of impact on employability and career prospects, the development of related communication and dissemination outputs, data analysis and ethical approval applications
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activities and meet key objectives of the project. They will assist with managing all stages in the research from ethics applications to analysis and reporting on the findings. As a member of the research team
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new part of the 5*S project and will focus on developing content for leaving certificate students, introducing them to Copernicus, spatial data and the UN SDGs. It will also explore setting up new links