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evidence. Six case study landscapes across Ireland form the core analytical framework, each illuminating different demographic, environmental, social, and religious impacts of the Famine. The successful
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and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel. Investigate geometric imperfections
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software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and
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applications. The role will focus on creating demonstrator platforms that combine sensing, data integration, analytics, and visualisation to support better understanding and management of energy use, flexibility
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integrative data synthesis and advanced analytics to accelerate the development and implementation of evidence-based strategies that prevent and manage chronic illness and improve health outcomes across
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submitting (new manuscripts and/or revisions) to the top OR journal listed above. • Proficiency in Python, particularly in optimization package usage and data-analytic related tasks. • Proficiency in
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Mathematics (LSM) across 20+ Singapore primary schools. Using person-centred analytic models, the study identifies heterogeneous learner subgroups across cognitive, literacy, mathematical, and socio-emotional
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of biostatistics, data analytics, and intellectual property considerations in a research or innovation environment. Proven ability to work independently, solve complex scientific problems under tight timelines, and
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Queen's University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical
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area with the potential to drive significant improvements in health and healthcare. You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and