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Work-based Learning Coordinator, Apprenticeship in Social Work UCC, School of Applied Social Studies
Fixed Term Whole-time Post (3 Years) Applications are invited for the post of Work-based Learning Coordinator, Apprenticeship in Social Work UCC .Reporting to the Head of School, the successful
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Learning is responsible for ensuring that all staff and students involved in teaching and assessment activities at UCC are provided with opportunities to gain the relevant qualifications and CPD supports
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Work-based Learning Coordinator, Apprenticeship in Social Work UCC, School of Applied Social Studies
Whole-time Post UCC wishes to appoint an experienced Technical Officer in the School of Biological, Earth and Environmental Sciences. ... Job Spec More-> Work-based Learning Coordinator, Apprenticeship in
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Learning to the problem and also implement at least one classical approach (such as stochastic integer programming) for comparison. The project is a collaboration with Sony who will provide us with real
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, the Lecturer in Ethnomusicology will make a key contribution to teaching and research in the area of Ethnomusicology at undergraduate and postgraduate level. The appointee will be expected to teach undergraduate
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Fixed Term Whole-time Posts (5 years) UCC wishes to appoint a Senior Lecturer within the School of Applied Social Studies. Reporting to the Head of School, the academic staff member teach and
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, the academic staff member shall teach and examine, undertake administrative duties and carry out other duties appropriate to the post. Please note that Garda vetting and/or an international police clearance
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-President for Learning and Teaching. Please note that Garda vetting and/or an international police clearance check may form part of the selection process. For an information package including full details
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undergraduate, postgraduate and doctorate levels. In addition, the School has a growing suite of Continuing Professional Development modules supporting life-long learning. Since 2012, the School has actively
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integrating diverse data to construct a deep learning-based condition assessment model of underground infrastructure. The condition assessment model is dedicated to bridging underlying correlations between