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the role are expected to be completed within a defined period. Furthermore, the position is funded by a none-core university funding stream, which is anticipated to cease within a finite period in line with
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is to provide Trinity students with academic learning services and to equip them with world-class academic and graduate skills for their studies and beyond. A key component of the role is promotion and
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, machine learning and quantitative text analysis at both undergraduate and postgraduate level is highly desirable. The Department is seeking to appoint an individual with vision and enthusiasm and a genuine
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longitudinal methods and cross-national data analysis to investigate the economic drivers and consequences of grey divorce. The project will explore how individual- and couple-level economic factors—such as
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series of experiments using these rigs, as well as the reporting and analysis of the results from the experiments. The experiments are predicted to include a range of working fluids and operating
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understanding the controls of soil respiration – the release of climate-warming CO2 from soil systems via its component sources such as roots and microbes. You will perform a mix of field, lab, and engineering
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finite. Salary: This appointment will be made on the HSE Registrar scale €68,872 - €78,748 per annum scale or HSE Specialist Registrar scale €74,970 - €93,339 per annum in line with current public pay
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Science, Computer Engineering, Informatics, Data Science, Computational Social Science, or adjacent disciplines with research experience in agent-based modelling, social data science, or social network analysis and
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of students with disabilities. Applications are welcome from students who will graduate in 2023, and the role will involve various project elements and support of Occupational Therapists in the Service while
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component sources such as roots and microbes – by developing and maintaining both custom and off-the-shelf instruments in field operation. We have developed custom built ‘minirhizotron’ instruments to image