623 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" Fellowship positions in United Kingdom
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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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, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Research Fellow/Senior Research Fellow to
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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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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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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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decisions we will evaluate applicants on the quality of their research, not publication metrics or the identity of the journal in which the research is published. More information is available at: Responsible
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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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, 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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analysing and interpreting modelling outputs and experimental data, supporting the generation of new funding opportunities, and contributing to licensing or spin‑out activities that demonstrate commercial