127 postdoc-in-thermal-network-of-the-physical-building Postdoctoral positions at University of Oxford
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Harry Anderson for a period of 18 months. The project involves organic synthesis, metalloporphyrin coordination chemistry, spectroscopy and physical organic chemistry. About you Applicants must hold a PhD
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of disease. Application Process Applications for this vacancy are to be made online. You will be required to upload a covering letter with a supporting statement, CV and the details of two referees as part of
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to manage your own academic research and contribute intellectually to projects, as well as writing manuscripts and presenting research findings at scientific meetings. Application Process Applications
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to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 180710. You will be required to upload your curriculum vitae and a supporting
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Department of Medicine. Our overarching aim is to develop better prognostic biomarkers to identify patients at particularly high risk of progression from MDS to sAML. We will build on the “liquid biopsy
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to reveal cells, genes, proteins and pathways underlying the infection process, parasite development and interaction with the hosts. These findings are further validated by in situ localization of gene
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data independently. The post holder must also have a strong statistical background, with at least one recent publication in an internationally reputable journal. Application Process You will be required
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and outside of the University. Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application
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of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, OX1 3TA and is available as soon as possible. Application Process
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maturity in the above areas; • strong skills and interest in building instrumentation to address biological questions; • strong quantitative skills in data analysis and programming