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development staff. They will also need to work effectively with partners and members of the public/service users to develop, deliver and disseminate the work of the research programme. Situated within one
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related to redecentralisation of the Web and testbed development is highly desirable. This research will also involve the use of benchmarks and the generation of synthetic datasets for experimentation in
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the colleagues to develop and implement an ambitious quantitative research programme To develop new models for understanding key determinants of community connectedness To engage in data science debates, notable
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under the supervision of project and line managers. The role will include: Working with the colleagues to develop and implement an ambitious quantitative research programme To develop new models
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files. Experience in Linked Data and Semantic Web technologies is essential, while familiarity with approaches related to redecentralisation of the Web and testbed development is highly desirable
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academic taskforce, the successful applicant will work to advance four objectives: Evaluate and compare different models for accessing and analysing social platforms data, including data donation, web
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to develop an interactive web app that enables intuitive exploration and criteria-based search of the narratives, curated as multimedia files. You will be working with the LEND project research team, and in
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of Medicine specialises in Cancer Sciences (CS), Clinical and Experimental Sciences (CES), Human Development and Health (HDH) and Primary Care, Population Sciences and Medical Education (PPM). The measurement
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area. You will also be required to hold a collection preview event to showcase the collection to academics within the University and external researchers. The Fellow will also write a blog post to
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of such schemes is to offer opportunities for outstanding early career researchers to strengthen their experience of research and teaching in a university environment, which will develop their curriculum vitae and