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. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion (or near completion) of a PhD in a relevant discipline (Demography, Geography, Economics
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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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of electro- and photochemical modalities into digital chemistry frameworks employing analytical feedback for the acceleration of chemical discovery. The successful candidate will be required to make a leading
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-zero emissions by 2050. About You Applicants should have a doctorate degree or equivalent (PhD/EngD) in Engineering, Manufacturing, Transport, Computer Science, Data Science, Sustainability, or a closely
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promotions process. About You Completion or near completion of a PhD in computer science, information visualisation, visual analytics, human-centred computing (HCI), spatial data science, or a closely related
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data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide
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analytical readouts, including immunohistochemistry, confocal microscopy, protein and RNA analyses, alongside fluid and tissue-based biomarker measurements to assess target engagement and pathway modulation
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contribute to the overall development of the team and project. Additional responsibilities include supporting team operations and taking on related tasks as needed. Job Requirements: Preferably PhD in computer
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of nonstationary spatiotemporal data arising from weather and climate observations/models. About the role Level A - $113K - $121K plus 17% Superannuation and annual leave loading Fixed term – 2 years Full-time (35
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definitions best predict adverse perinatal outcomes and help distinguish normal variation from true growth restriction. The PhD could consist of three suggested papers: 1. An assessment of gestational age data