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of Future Medicines and AI & Data Analytics. The successful candidate will gain experience developing computational tools to support a rational and science-based approach to selecting formulations
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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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analysis, microbiological analysis, material science, chemistry, relevant analytical techniques, life-cycle assessment is required for this post. The successful candidate will be expected to carry out
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optimising in a wide range of ML tools on microbiome, epigenome and transcriptome data is required. The appointee will be part of an interdisciplinary team of scientists and will work in the School
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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