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of three referees. Please apply via the Recruitment System. We encourage all documentation to be submitted via this system. The following file formats are accepted for attachments: • Word (.doc/.docx
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Microsoft Word, Excel, PowerPoint, databases, and Google Docs and be should also be familiar with blogs and social media. In addition, the candidate is expected to have: • A Master’s degree (preferred
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formats are accepted for attachments: • Word (.doc/.docx). • Word Perfect (.wpd). • Excel (.xls/.xlsx). • Rich Text Format (.rtf). • Portable Document Format (.pdf). You may attach up to 10
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submitted via this system, the following file formats are accepted for attachments: • Word (.doc/.docx). • Word Perfect (.wpd). • Excel (.xls/.xlsx). • Rich Text Format (.rtf). • Portable
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recordings). Please apply via the Recruitment System. We encourage all documentation to be submitted via this system where possible. The following file formats are accepted for attachments: • Word (.doc
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questions concerning the position and/or the project, please send an email to Dr. Claudia Meisrimler at claudia.meisrimler@canterbury.ac.nz We do not accept applications by email, however we are happy
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queries in relation to the application process, please forward these to WorkatUC@canterbury.ac.nz For further information specifically about the role, please contact: Professor Ximena Nelson to discuss the
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have a PhD in Physics or Astronomy with a strong research background in: Observational astrophysics with neutrino and/or gamma-ray telescopes Statistical methods and data analysis. Computer programming
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process, please forward these to WorkatUC@canterbury.ac.nz Prospective candidates are encouraged to contact Dr. Daniel Sando (
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doctoral degree (e.g. Doctor of Medicine, PhD, or equivalent) in a relevant discipline, such as epidemiology. • Experience with systematic review and meta-analysis. • Quantitative data analysis skills