117 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" positions at University of Cambridge in United Kingdom
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science research. You will have experience of handling complex survey data at scale. The role holder will support this research using publicly available government and other data (which include NFHS, DHS
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, you will provide personal data which the College will process in accordance with its data protection obligations and its Data Protection Policy: http://www.stedmunds.cam.ac.uk/data-protection Any offer
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accordance with its data protection obligations and its Data Protection Policy: http://www.stedmunds.cam.ac.uk/data-protection Any offer of employment is subject to evidence of your right to work in the UK and
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refer to the Candidate Information Pack. For further information, please see the choir website: https://www.jesus.cam.ac.uk/chapel-and-choir . For an informal discussion about the post, please email
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should be made via the online application system at: https://app.casc.cam.ac.uk/fas_live/trinclfms// . Further details are available at: https://www.trin.cam.ac.uk/hr/vacancies/ . The closing date
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months in the first instance. The post may be further renewed for a period of up to 12 months. Further information about the department and the group can be found at: DAMTP: http://damtp.cam.ac.uk Lab
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12 months. Further information about the department and the group can be found at DAMTP: http://damtp.cam.ac.uk Lab: http://www.fluidlab.nl To apply online for this vacancy and to view further
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strengths in mathematical modelling, data-driven methods, and computational approaches to complex systems. Research in the department is organised around several research groups, including Disordered Systems