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- bermet.ishenbekova@ucentralasia.org
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chemical processes, supporting the translation of innovation from the laboratory to pilot scale. The successful candidate will focus on the mechanistic modelling of carbon dioxide conversion and other
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qualitative researcher conducting a process evaluation using interviews, focus groups and observations in several sites including Sheffield, Leeds, and across South and West Yorkshire and leading data analysis
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governance process of collaborative epidemiological research. Working within an active multidisciplinary team, the Research Fellow will be integral to planning, executing, and disseminating key research
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Closing date for applications: 9th November 2025 at 11:59pm The selection process will involve an interview and a presentation on economic evaluation or other work the candidate has carried out which is
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for this job online or have any queries about the application process, please contact the HR Administrator. About you The applicant is expected to undertake independent and collaborative research
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the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-EPED-2025-16. The supporting statement section
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accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to job s@lshtm.ac.uk . Please quote reference EPH-EPED-2025-16. The supporting
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governance process of collaborative epidemiological research. Working within an active multidisciplinary team, the Research Fellow will be integral to planning, executing, and disseminating key research
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of methane at high concentrations both from gas-fed bioreactors and through modification of conventional anaerobic digestion processes. The research is intended to assess the optimum conditions and the
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of methane at high concentrations both from gas-fed bioreactors and through modification of conventional anaerobic digestion processes. The research is intended to assess the optimum conditions and the