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international researchers in Cork, and will also interact with collaborators in the USA, Europe and Japan. The research will deploy innovative approaches including “in cell” proteomics and imaging, CRISPR
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equivalents) offered as part of a postgraduate diploma on Applied Social Data Science (computer programming, machine learning, research design, advanced statistics, text analysis, forecasting). Depending
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multimodal brain imaging techniques with novel neuromodulation. More specifically, we work to understand the mechanisms of (mal)adaptive plasticity and develop new treatment approaches for different
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across a wide range of research projects. This role requires excellent communication and interpersonal skills, computer literacy, and data management. He/she is a key member of the project team and should
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that enable this pathogen to cause infection, to survive attacks by innate immune cells (macrophages and neutrophils), and to become resistant to antifungal medications. The student will learn and apply various
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teaching and contributions to the university, the discipline, and the community. The academic staff member shall teach and examine, undertake administrative duties, and carry out other duties appropriate
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the recruitment of industry placement providers and delivery of initiatives to support student experiential learning. The appointee will provide a high quality level of administrative support to academic staff and
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to: Professor Judi Pettigrew Head School of Allied Health University of Limerick E-mail: Judi.Pettigrew@ul.ie Or Professor Martin Hayes Department of Electronic and Computer Engineering University of Limerick E
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Responsibilities of the Post Conduct research and development on sign language recognition using computer vision and machine learning techniques. Lead the implementation of inference models suitable for mobile and
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Clinical Management System (MN-CMS) - either through the analysis of this data, integration with its source systems or specification of improvements for its functionality. • We will use Machine Learning