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attainment. The ideal candidate will have a PhD in a relevant discipline, with strong community research and qualitative analytical skills, and a background in climate and/or energy transition
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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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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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in the area of operations research, constraint programming & machine learning within an established group of researchers and PhD students. Project Title: Insight Post Duration: 6 Months Whole-Time
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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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environment/network of the university more widely. In the evaluation of the applications, emphasis will be placed on: • PhD degree (awarded) in ethnomusicology, folklore or other closely related areas
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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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solutions, media, autoclaving materials, ordering of consumables) and provide any assistance to the Post-Doctoral Fellow and PhD student. He/she will be responsible for monitoring and updating
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carried out under the supervision of Dr Aisling O’ Driscoll and Professor Dirk Pesch. The appointee will work together with other Postdocs and PhD students on vehicular networking. The researcher will be