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an enthusiastic PhD candidate to help enable the circular economy for plastics within the automotive industry. Working with industry co-sponsor Artifex (https://www.artifexinteriorsystems.com ) and based in
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economics. An aptitude to undertake research and develop into an independent researcher. Experience in coding applied to the solution of economic numerical models is highly desirable. For full details please
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project suits applicants with strong quantitative skills, an aptitude for coding, and an interest in textual analysis, large language models and computational methods. Previous experience in Python/Matlab
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work on the project “Assessing the role of rare germline non-coding genetic variation in breast cancer susceptibility using whole genome sequencing data”. This project will investigate the contribution
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Assistant Praedoc to join the dynamic research team led by Univ. Prof. Sara Merino Aceituno, PhD. The research areas developed by the team are in particular related to kinetic theory applied to the study of
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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to the discipline, through open data, open code, open educational resources and practices that support replication. Experience Essential E1 Experience of planning and progressing work activities within professional
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, library, museum or other record-keeping environment (including remote volunteering e.g. see National Archives remote volunteering opportunities page: https://www.nationalarchives.gov.uk/about/get-involved
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some experience of research project supervision. E10 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support
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, design & analysis of experiments & drafting of papers. E10 Experience in undertaking independent research. E11 Commitment to open research, as appropriate to the discipline, through open data, open code