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software engineering, human factors usability, and design/visualization in developing applications to optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor
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to Copernicus, Augmented Reality, spatial data and the UN SDGs. It will also explore setting up new links with postgraduate teaching programmes nationally. 5*S is a collaboration between Maynooth University
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and characterizing terminological errors, their span, and severity, focusing on critical domain errors. They will also contribute to WP5 (Text Augmentation) which will enhance scientific content
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, Initial Teacher Education and Industry Geomentors, introducing them to Copernicus, Augmented Reality, spatial data and the UN SDGs. It will also explore setting up new links with postgraduate teaching
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include augmented/mixed reality systems, headset/sensor evaluations, integration of medical sensors/devices into headsets, and creating innovative solutions for immersive clinical guidance systems. This is
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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to augment classical spike train analysis methods particularly those developed by Prof. Grün and others for detecting synchronous spiking activity with AI-based enhancements. After profiling the classical
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on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and