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integration within the EU MetNet IoT framework to optimise resource allocation and enhance real-time meteorological data reliability. PD1 Salary Range: €47,273 - €53,925 Per Annum Appointment on the above range
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candidate will contribute to data collection, analysis, and dissemination of findings across the two projects. Responsibilities include multi-site data collection in Ireland, consenting participants
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that assessments are valid, reliable, fair, defensible, and aligned with programme learning outcomes and regulatory standards. The role combines advanced psychometric expertise with a strong understanding of medical
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(with experience in structural design or mechanics) Essential Qualifications Applicants should demonstrate: Strong knowledge of structural design and mechanics; Experience with finite element analysis
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technology, alongside local ecological knowledge, genetic sampling, sonography, blood sampling and hormone analysis, underwater video, and autonomous underwater vehicles. The successful candidate will support
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sampling and hormone analysis, underwater video, and autonomous underwater vehicles. The successful candidate will support the Principal Investigator and play a leading role in ensuring project delivery
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activities, including the collection, analysis and documentation of qualitative and quantitative data. The role involves preparing research reports, developing data collection tools, communicating project
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, fieldwork, data processing, reporting and project administration. The successful candidate will be proficient in applying integrated spatial analysis techniques to coastal and marine environmental data
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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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engage with scientific, clinical, public health, policy and public and patient representatives to co-design and trial the research DRV dashboard platform. Contribute to developing oversight structures