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The Department of Classics and Archaeology at the University of Nottingham is seeking a Research Associate/Fellow in digital curation and analysis to work on the AHRC-funded project Voices
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relationships of novel in-house manufactured metallic powders for additive manufacturing through a range of approaches involving finite element modelling for particle impact and multiple layer growth
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of Finite Element Method, and FEniCS/Firedrake/Dune. Excellent communication and organisational skills. The ability to work independently and as part of a multidisciplinary and multicultural team. Networking
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, numerical modelling, data analysis, and interpretation of results. Alongside this, around 30% of the role will involve contributing to publications and actively supporting the development of future research
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PromethION instruments—experience in the analysis of ONT data is therefore a significant advantage although training can be provided. Deep Seq currently operates short read platforms from Element and Illumina
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oxygen signalling. Confocal or fluorescence microscopy and quantitative image analysis. Gene expression analysis, transcriptomics or chromatin-based methods. A strong publication record appropriate
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(or be close to submission) in palaeobotany, palaeobiology, or a related discipline, with experience in some of the following areas: Mesozoic plants, experimental taphonomy carbon isotope analysis and
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-MS and OrbiSIMS), providing a high-quality research environment for metabolomics, lipidomics, fluxomics and spatial molecular analysis. The Research Associate/Fellow will play a central role in
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Research Fellowship and is available for a period of 18 months. The project will build upon the group’s recent advances in the field of metal-organic cages (for examples of work developed by the previous
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architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply