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Field
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visualization, geospatial analysis, and processing of large amounts of meteorological and remote sensing data. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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, large-grant project on the epidemiology of bovine tuberculosis in wild badgers, using state-of-the-art Bayesian modelling approaches to study the drivers of infectiousness and transmission of infection in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au ANU is a large
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Australian National University | Canberra, Australian Capital Territory | Australia | about 10 hours ago
contribute to the teaching and mentoring of postgraduate students. Our Ideal Candidate The ideal candidate will hold a PhD in a related field, with demonstrated expertise in strategic and defence policy
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From a Bletchley Park code-breaker to Nobel Prize-winners and the inventor of the phrase ‘Big Bang’, Research Fellows of St John’s have made remarkable contributions to the world. Now applications
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to contribute to a world-leading project on Survey Data Collection Methodology Survey Futures https://surveyfutures.net/ . Survey Futures is a collaboration between nine universities and three survey
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. The NOMIS-ISTA Fellowship Program provides postdocs with the freedom to work on big unanswered questions and high risk research at the intersection of two or more scientific disciplines. ISTA offers
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the direction of Dr Maslovskaya, you will be part of a large multi-institution team of survey data collection methods experts in the UK. You will analyse probability-based NatCen online panel data collected using
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UKESM1 or similar models, advanced data analysis and machine learning, would be advantageous. Grade E: You will be near completion of a relevant PhD or have equivalent research experience, and be able