602 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" Fellowship research jobs in United Kingdom
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testing and validation systems and in the AI data analysis to create multi-variate system models of different processes. You will be required to present their findings at both internal and external meetings
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analyse large scale job application data from employers using quantitative methods. Findings from the analysis will be written up in a project report, separate reports to employers, and in academic journal
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of immigration-related expenses for any dependants accompanying you to the UK. For more information please see the our webpage on Financial support for visas and the immigration health surcharge. Additional
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relationships. Purpose of role is to progress the research programme of ‘JD HMI:CPT’, responsibility is to Dr S M Dobbs. Role includes work with participants, laboratory work, archiving of specimens and data
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because of climate change. Working alongside the PI and local academic partners, the postdoctoral fellow will then oversee data collection, which is expected to involve interviews, survey questionnaires
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healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models. Working closely with
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. There may also be opportunities to be involved in related mathematical modelling projects, as well as data analyses to help parameterise and calibrate such models. There may also be the opportunity
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, focus groups, observation and documentary analysis, and will lead on the analysis and synthesis of qualitative data using systems evaluation frameworks. The role requires an excellent understanding
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data-driven (AI/ML) approaches to analyse polymer physicochemical properties and degradation behaviour across different environments, with the aim of identifying key molecular-level design principles
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basis starting from 01/04/2026 for 24 months. For further information, please contact: Prof. Victoria Chapman (victoria.chapman@nottingham.ac.uk ), Dr Federico Dajas-Bailador (F.Dajas-Bailador