465 data-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" Postdoctoral research jobs in United Kingdom
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About the role The Department of Biology is seeking to recruit a Postdoctoral Research Assistant to work under the supervision of Dr Laura Moody. The post is funded by the Royal Society for one year
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their host galaxies by overcoming the glare of the AGN that overwhelms the host galaxy’s light. The successful candidate will primarily analyse data from the James Webb Space Telescope. In addition, they will
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optimise techniques for data collection and analysis. Conduct rigorous data analysis and maintain high standards of data integrity. Prepare reports for sponsors and present findings at internal and external
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, interviews, thematic analyses, researching and writing up case studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and
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We are seeking a Senior Researcher to join the Ideker Laboratory at the Big Data Institute (BDI) and the Nuffield Department of Population Health at the University of Oxford. The successful
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electrochemical experiments (in inert atmospheres) and rheology, particularly with Li-ion battery materials, is desirable. You will gather and publish high-quality data, exhibit leadership within the group, present
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studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s
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for the analysis of ONT data are expected. The successful applicant will work in the team of the Joint Microbiome Facility of the Medical Univeristy of Vienna and the Univeristy of Vienna (JMF), and support Centre
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conducting long-term participant observation, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised