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at cell level. With large-scale proliferation, sustainable and recyclable materials are needed to avoid used cell waste accumulation. Inspired by safe aqueous battery chemistries and development in
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distinct cohort, in addition to refining how we collect and analyse these data. This project will involve working with existing large datasets, optimisation of data processing and statistical analysis
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handling, computational biology such as RNA sequencing and metabolomics and analysis of large datasets will be highly valued. The appointee will work directly with the Aburto Lab group. Our work focuses on
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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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single tube. The primary purpose is to regenerate automatically through temperature cycling and use DNA as a low-energy, sustainable medium for molecular computation and data storage. The successful
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cycling and use DNA as a low-energy, sustainable medium for molecular computation and data storage. The successful candidate will lead the design and modelling of thermally regulated DNA motifs and
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Science, Computer Engineering, Informatics, Data Science, Computational Social Science, or adjacent disciplines with research experience in agent-based modelling, social data science, or social network analysis and
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, scale, and/or impact, but they typically share common challenges in how best to manage these incidents. How we gather, share and ultimately use data and information in a timely fashion in order to help
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, journalists and citizens in Germany, Italy, the UK and the USA. Surveys, interviews and focus groups are central to the data collection. The postdoctoral researcher will join the project team in its third year