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Field
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analysis Evidence of ability to contribute to interpretation and write up of research findings for academic and policy audiences Research Associate Essential criteria PhD qualified in relevant subject area
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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their intended postgraduate study. Up to $17,000 per annum at Masters level and $25,000 per annum at PhD level. For more information and to apply visit The Dick and Mary Earle Scholarship in Technology
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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the sponsoring agency. Basic Qualifications: PhD degree and 8 years relevant postgraduate experience or a MS degree with 12 years postgraduate experience in electrical engineering or closely related engineering or
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using Power BI (or similar software such as Tableau or Spotfire) Programming skills in Python or R Excellent interpersonal, verbal & written communications skills Ability to work independently and as part
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for PhD Students; and up to $20,000 for Postdoctoral Fellows. The award may be used for travel or other research-related expenses; and An opportunity to be mentored by an experienced researcher in a
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and not expenses that would normally be covered by the funding of the current PhD program. Travel overseas or interstate: A rationale for the travel proposed must be given. While conference funding is a
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Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please
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ability to work independently and in a team environment Demonstrated ability to meet deadlines Discretion, tact and confidentiality Technical proficiency using various word processing software, spreadsheet