43 machine-learning-"https:"-"https:"-"https:" "Computer Vision Center" research jobs in Ireland
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Skip to main content Postdoctoral Researcher in Human-Computer Interaction Job id: 158027. Salary: £51,174 per annum, including London Weighting Allowance. Posted: 16 September 2026. Closing date: 07
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doctorate in a relevant discipline and demonstrate strong programming skills and research expertise in artificial intelligence, machine learning or related areas. Faculty of Science & Engineering Department
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role involves producing research solutions, from data analysis pipelines to web applications, in a variety of domains. You may have specialised skills in areas such as machine learning/AI, data
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Engineering, Computer Science, Robotics, Artificial Intelligence, or a closely related discipline. Strong research background in socially aware or human-centred AI, machine learning, robotics, and/or human
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nonlinear system identification, optimisation, computational complexity, and data-driven modelling, with the long-term objective of extending these ideas to modern AI and machine learning models. The
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both traditional teaching methods with modern, project-based learning, catering for the needs of our students and the industries in which they will work. As a new department we have invested in new
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machine learning, with proven experience working with large language models: including fine-tuning, prompt engineering, and evaluation of LLM outputs 3. Experience or demonstrated interest in
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About us We are seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics of interest in this area include
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Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong...
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begins in October 2026. The role is based in the Department of Informatics. The project will advance the AI readiness and machine actionability of the EOSC ecosystem by building an AI readiness