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distinct cohort, in addition to refining how we collect and analyse these data. This project will involve working with existing large datasets, optimisation of data processing and statistical analysis
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, using citizen science methodologies to gather data on the Viking legacy from across Europe and mapping the evolution of responses to the Viking past over time. The ideal candidate will have undertaken
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optimising in a wide range of ML tools on microbiome, epigenome and transcriptome data is required. The appointee will be part of an interdisciplinary team of scientists and will work in the School
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and Rehabilitation, under the direction of the Principal Investigator, Professor Suzanne Timmons. The successful candidate will contribute to trial design, data collection, analysis, and dissemination
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. - statistical and machine learning techniques for data analysis - atmospheric chemistry research - materials chemistry research - designing and conducting experimental test procedures. Achievement
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the discipline of Old and Middle Irish). Experience of working on source texts in Irish is essential as is the ability to work well in a team. For an information package including further details of the post see
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per annum, IUA PD2 For an information package including further details of the post see https://ore.ucc.ie/. Informal enquiries can be made in confidence to Jimmy Murphy, Dr, Civil Engineering / MaREI
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experience, in research with optical cavities, gas handling, relevant data analysis, report and proposal writing is highly desirable. Know-how in atmospheric sciences will be an advantage. Previous experience
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initiatives in the social economy care sector. The appointee will engage in stakeholder consultations and primary data collection through interviews and in-depth case studies and will facilitate co-design
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modelling framework aimed at supporting the decarbonisation of the Irish electrical grid, with a specific focus on the industrial sector. This role involves the integration of high-resolution data