105 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" Postdoctoral positions at University of Oxford
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Please be informed that we have amended the information under “How to Apply” in the Job Description. Applications are invited for a Postdoctoral Research Assistant: Black Hole Outflows. We seek
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scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate. Additionally, you will collaborate in the preparation of scientific reports and journal articles and
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(email: Laurence.brassart@eng.ox.ac.uk). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on the 7th January
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Fritzsche, conducting individual research, analysing detailed and complex qualitative and/or quantitative data from a variety of sources, and generating original ideas by building on existing concepts. You
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shifts, proposing and undertaking new experiments, carrying out the corresponding data analysis and reporting the findings to the Accelerator Physics and Machine Development meetings. Applicants should
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essential. Informal enquiries may be addressed to Dr. Yangchen Pan: yangchen.pan@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online
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, London and Oxford). Working closely with the senior research team, you will conduct and manage research, including study set up and ethics, recruitment, consent processes, and data collection, monitoring
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
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proven expertise in seismic data processing and analysis, knowledge of volcanic/ geothermal processes, strong quantitative skills, and proficiency in Python for scientific computing. You should be