19 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" research jobs at MAYNOOTH UNIVERSITY
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and engagement programme with Small to Medium Enterprises (SMEs). IVI has developed the ReThink ReDesign programme (https://ivi.ie/rethink-redesign/) which leverages research grants and supports from
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Learning Institute, Maynooth University. This project is funded by the Health Research Board with co-funding from Multiple Sclerosis (MS) Ireland. The appointed researcher will be responsible for conducting
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health services and supports for PwMS in Ireland. The PROMISE project is led by Principal Investigator (PI) Dr Rebecca Maguire in the Department of Psychology and the Assisting Living and Learning
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Ireland. The PROMISE project is led by Principal Investigator (PI) Dr Rebecca Maguire in the Department of Psychology and the Assisting Living and Learning Institute, Maynooth University. This project is
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to support real-time response to Emergency Events such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning
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case studies in Ireland, France and Poland. The project uses cutting-edge machine-learning techniques from computer science to unpack how populist actors engage with security themes. This will comprise
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University is an equal opportunities employer Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404670/research-assistant/… Requirements Additional Information Work Location(s) Number
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) Frontiers for the Future Programme. The project aims to include the expansion of the GlycoShape 3D glycan structure database (https://glycoshape.org ) and use molecular simulations to characterise recognition
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. LEAP-LA pioneers agentic AI solutions aimed at reframing Learning Experiences and Advancing Practices with Learning Agents. The team envisions an AI assessment platform that delivers activities that can
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of the GlycoShape 3D glycan structure database (https://glycoshape.org ) and use molecular simulations to characterise recognition of bacterial glycans and immune signalling response via Toll-like Receptor (TLR