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, Android, iOS) for searching and interacting with cultural heritage data. • Building machine learning models for word-based recognition and processing of Yunnan ethnic minority languages. The researcher will
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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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of the work will be on working conditions, job quality, organisational democracy and social dialogue in the social economy care sector. A key task will be to conduct an online EU-wide survey of working
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) to monitor gas evolution in real time and assess the influence of surface area and pore volume on bubble formation, gas reabsorption in the water and true captured gas evolution volume. The work will be
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and cognitive trajectories with the aim of helping to lower the age of diagnoses. Machine learning techniques will be applied to combine datasets to establish the best predictive models for children’s
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on the project, including: an evaluation of conditions for the development of social economy initiatives in the care sector; assessment of organisational democracy, job quality and working conditions in the social
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to a number of key deliverables on the project, including an evaluation of conditions for the development of social economy initiatives in the care sector, assessment of organisational democracy, job
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, occlusions, limited perception range, or sensor specific detection inaccuracies e.g. under certain weather conditions.Thus, the challenge of deriving strong belief originating out of such inconsistent
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on this expertise. Inclusive Co-Learning and Inclusive Research with Students with Intellectual Disability in Higher Education The PATH 4 Phase 2 funded id+ futures Project delivers 2 rights-based, inclusive
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wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises the value of diversity amongst its staff. We encourage