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was established to promote excellence in the design, safe conduct and analysis of patient-focused research. It provides the necessary space, expertise and equipment to allow medical professionals in Munster to work
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-based initiators and minimising chemical waste. This interdisciplinary project sits at the interface of synthetic organic chemistry, physical electrochemistry, and reaction engineering. The successful
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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. *Familiarity with molecular biology techniques, such as DNA extraction and PCR. *Experience in gas chromatography for the analysis of biomethane production. *Experience in technoeconomic feasibility analysis
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project's analytical and computational objectives. Working closely with experienced team members, the role will involve building and testing models, preparing datasets for analysis, and supporting the wider
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evaluation of the intervention ensuring high-quality mixed-methods data collection, analysis and reporting. They will work under the supervision of the PI, Professor Deirdre Connolly and project manager, and
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researchers on a range of topics, including artificial intelligence, RF sensing and communications, multimodal UB RF signal data analysis, and wireless sensing network architecture design and optimisation. It
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communications, multimodal UB RF signal data analysis, and wireless sensing network architecture design and optimisation. It is envisaged that the researcher will be located at University College Cork’s campus
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occurring in the brain, eye fixation, heart rate, pressure imposed on interaction devices and pupil dilation. Various data processing and analysis techniques will then be employed to identify discriminating
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University College Dublin. Our research involves applying engineering principles, in particular mathematical modelling, signal analysis and experimentation, to understand how the nervous system controls