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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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sustainability. It addresses disparities in access to spatial learning that affect students’ ability to interpret complex systems such as climate, energy, and ecological processes. Using a comparative approach
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to the university. Able to work independently with strong data analytical skills, communication and interpersonal skills. Self-directed learner who believes in continuous learning and development. Proficient in
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
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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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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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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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that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes vulnerable groups
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Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high
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diagnostics through to large‑scale public health programs. The position combines advanced analytical work with research leadership, collaboration across disciplines, and contribution to competitive funding