538 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" positions at University of Oxford
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spectrum - from genes to molecules, to big data and populations. With the honour of 12 Nobel Laureates over its long and distinguished history, the Division is consistently at the forefront of innovative and
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. You will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate. Adapt existing and develop new scientific analytical pipelines
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. For more information please see the further particulars. Informal enquiries should be directed to Jonathan Roger on jonathan.roger@admin.ox.ac.uk . The closing date for applications is 12:00 on Monday 23
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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of applying them to data. Collaborative endeavours with members of the IPMU and Oxford groups is highly encouraged. You will have the opportunity to teach. Applicants should have a PhD (or close to completion
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to project coordination, help develop new research ideas and funding proposals, and maintain high standards of data management and reproducibility. It is essential that you hold a PhD/DPhil (or are close to
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be addressed to Dr Christian Schroeder de Witt (christian.schroeder@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
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infectious diseases. As a member of our team, you will work alongside clinicians, data scientists, epidemiologists, software engineers, and statisticians to support the ongoing development, maintenance, and
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which you used when applying to Oxford. If you have any questions in regards to the application form itself, please see the Commonwealth Scholarship Commission FAQs page for more information. Selection is
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of chromosomal mutations in bacteria; isolation of proteins expressed at native levels; proteomics and the analysis of proteomics data; high throughput genomic methods; the investigation of protein transport