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production and visual sensitivity, a web-based LCOE calculator, and a multi-criteria decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and
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of Computer Science. Applications are invited for a Post-doctoral Research Fellow Level 1 position within the Aimsir Centre for Artificial Intelligence for Meteorological Services Innovation and Research, based in
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and Artificial Intelligence, within the Climate & Sustainability research theme. This role is part of a national Centre, Rinn Artificial Intelligence – Research & Innovation in Data Science and AI, a
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(UWB) RF sensing, localisation, and vital sign recognition. The successful candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and
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candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and communications, multimodal UWB RF signal data analysis, and wireless sensing
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on next-generation communication and sensing technologies for enhancing safety and performance in intelligent networked systems. The appointee is expected to make significant contributions
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performance in intelligent networked systems. The appointee is expected to make significant contributions to the research agenda of the SHIELD project. SHIELD investigates advanced methods for improving
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and data visualization techniques. *Experience working with longitudinal time course data sets. *Familiarity with multi-omics data integration approaches. *Ability to clearly document methods and create
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Information Eligibility criteria Mandatory: *PhD in Statistics, or a related field. *Strong programming skills (e.g., R, Python, or similar). *Knowledge of statistical analysis and data visualization techniques
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industrial R&D). • Proficiency in using Microsoft Word, Excel and statistical software packages. • Technical report writing, organisational and presentation skills. • Proven record of working in a team