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combining causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design
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, Co. Tipperary. The student community consists of more than 5,000 learners, participating in fifteen undergraduate degree programmes and several postgraduate programmes extending to PhD/Doctoral level
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, High quality university level teaching, Innovative approaches to teaching and learning, Potential to generate external research funding Additional Information Eligibility criteria Mandatory: *A PhD in
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related Data Science area such as Biostatistics or Statistical/Machine Learning and have a track record of independent research of international standing. Reporting to the Head of School of Mathematical
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enthusiastic, self-motivated, self-critical and willing to learn. Must be able to both work on their own and as part of a team of PIs, post-docs and other PhD students. Desirable A full driver’s license and
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, Co. Tipperary. The student community consists of more than 5,000 learners, participating in fifteen undergraduate degree programmes and several postgraduate programmes extending to PhD/Doctoral level
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engage diverse audiences in new responses to climate change and sustainability. Applications are invited from candidates with a relevant PhD qualification and research experience on the social aspects
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• A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and committed with a keen interest in creative and multidisciplinary research
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contribute to the preparation of reports, manuscripts, and other written outputs. Requirements for both posts are: PhD in Nutrition, Epidemiology, Statistics. Expertise in data analysis: nutritional biomarkers
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the system's computer vision pipeline, including visual odometry and plant-species-level detection capabilities. Their work involves enhancing the existing deep learning models to ensure high detection accuracy