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frameworks—namely the Consolidated Framework for Implementation Research (CFIR) and the Expert Recommendations for Implementing Change (ERIC)—to guide data collection, analysis, and interpretation. Conduct
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research. A PhD in health economics, economic evaluation, mathematical modelling, operational research, statistics or related field with a strong quantitative component is expected. Additional Information
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responsibilities The Research Fellow/Senior Research Fellow will: Lead GBD research projects, which may include systematic reviews, meta-analyses, and epidemiological disease modelling. Set research direction and
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modelling who has: a PhD in power and energy systems, process systems engineering, industrial decarbonisation, energy economics, or a related discipline demonstrated expertise in energy systems modelling
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Economics » Political economy Geography » Economic geography Sociology » Other Researcher Profile Recognised
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of advanced thin films grown via vapor-phase techniques such as hybrid MBE, MOCVD and TLE. This position offers a unique opportunity to contribute to a comprehensive, cradle-to-grave modeling effort—from
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project, so it promises to be a very exciting time to join our team! Successful candidates will have a PhD degree in a relevant field, expertise in processing and modelling geodetic data using open-source
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), of the Polytechnic of Leiria Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Undergraduate Positions Country Portugal Application Deadline 17 Oct 2025 - 23:59
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to integrate empirical data into predictive models. You will collaborate closely with experimentalists to tightly integrate hypothesis generation and validation. You will be expected to disseminate our work
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cluster models. - Characterization of cell subpopulations based on mechanical phenotypes. The individual hired for this position will also collect, manage, and analyze experimental or computational data