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offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary
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higher degree relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods
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printing technologies and materials is advantageous. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Ability
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College directly supports one of the four pillars of ANU by
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information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based
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of the fellowship is research training leading to the successful completion of a PhD degree. For more information, please see our web site . Qualification requirements Applicants must satisfy the requirements
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. The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists
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degree requirements must be satisfied prior to the fellowship start date and not be more than five years removed from obtaining their PhD. Applicants are expected to have strong analytical and programming
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patterns and anomalies beyond human or rule-based detection. By drawing on the Information Systems perspective, this PhD project may address one or several interconnected themes related to advancing AI