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Centre at University College Cork. The ideal candidate should be a quantitative, analytical researcher with a PhD in engineering, science, or economics, or a field related to energy, and a demonstrated
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hold a PhD degree in Food Science, Packaging Science, Chemistry, Material sciences, Food Engineering or a related science discipline. Experience in packaging science, shelf-life analysis, chemical
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, Android, iOS) for searching and interacting with cultural heritage data. • Building machine learning models for word-based recognition and processing of Yunnan ethnic minority languages. The researcher will
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project website (https://ecura.ie/) and database, working on the existing project database and contributing new data entries and content, along with other team members. In the Application Letter, candidates
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diversification, and demand control strategies are quantified. The ideal candidate will have a PhD in engineering, science, or economics, with strong quantitative and analytical skills, and a background in energy
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in cooperative Vehicular Environments) (CONNECT2-T4) will address the challenge of determining believe/confidence in cooperatively shared environmental perception data so that it can be trusted to make
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settings. More information on the project can be found here: https://cordis.europa.eu/project/id/101214413 The Post-Doctoral Researcher will support the co-creation of the TRANSCEND-XR intervention through
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Infant Research Team Post Duration: 12 Months Salary: €45,847 - €52,339 p.a. IUA PD1 Scale (pro rata 0.6 FTE) For an information package including further details of the post see https://ore.ucc.ie
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PD1 Scale For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Mags Arnold, Project Lead, MicroCreds project Tel
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highly valued: multispectral UAV mapping, coastal measurements (ADCP, Kestral, wind, wave, buoy), sediment analysis (particle size) and interpretation; CFD modelling; Irish coastlines and data science. The