35 assistant-and-professor-and-computer-and-science-and-data Fellowship positions in Ireland
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excellence in education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Trinity College Dublin - an introduction Post Summary The Department of Political Science
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Hub (SEARCH); is an exciting multi-disciplinary initiative focused on creating synthetic healthcare data and facilitating secure data sharing across the biomedical ecosystem. This research programme
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seeking international protection, and provides a range of congregate accommodation settings for this group, which pose additional social and health challenges. BOTPs, IPAs and programme refugees (who
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methods, including longitudinal data analysis techniques, are essential; Qualitative research methods including qualitative interview skills, qualitative analysis skills are desirable; Strong computer
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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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(ARC Hub for Therapeutics) and involves collaboration between Professors Anne Marie Healy and Carsten Ehrhardt of the School of Pharmacy and Pharmaceutical Sciences, Trinity College Dublin (TCD) and
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Post Summary Research Fellow The Substance Use and Mental Health Interventions using Digital Technology (SUMIT) project team formed and initiated a strategic all-Ireland engagement process over
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Post Summary The Characterisation & Processing of Advanced Materials Research Group, led by Professor Valeria Nicolosi, is currently seeking a Research Fellow with significant practical experience
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Clinical Research Fellow to support the Rare Bone Disorders programme (OurTRibe). OurTribe provides clinical care for over 300 children with rare bone disorders within the Republic of Ireland
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prepared based on the findings with a focus on facilitating the replication at city and national levels. Each bike will be instrumented with GPS sensors to understand preferred cycling routes. The data will