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contribute to the governance and collegial life of the School and University, engage with external stakeholders, and uphold standards in assessment, inclusion, and diversity. About you PhD in an academic field
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a completed or near-completion PhD in Banking and/or Finance, and demonstrate emerging leadership in research and education. You bring: Research expertise in one or more high-demand finance fields
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group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
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surrounded by extraordinary ideas - and the people who discover them The Opportunity If you are a current Monash Master’s or PhD student and can work 3 days per week, the Monash Research Office has
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academic staff and 5000 students and teaches both undergraduate, postgraduate masters, MBA and PhD courses. It is accredited by both the European Quality Improvement System (EQUIS) and Association to Advance
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around 100 academic staff and 5000 students and teaches both undergraduate, postgraduate masters, MBA and PhD courses. It is accredited by both the European Quality Improvement System (EQUIS) and
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the University’s research capacity in a globally relevant field. The role provides the opportunity to develop and publish a monograph based on Korean Studies-related PhD research or, if already published
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 23 days ago
agricultural research while building strong professional networks. The Person The successful candidate will hold a PhD (or be within six months of completion) in plant science or a related field, with proven
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, industry, and community stakeholders to enhance the discipline’s impact. About you PhD in an academic field relevant to the discipline or other higher professional qualifications appropriate
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You Completion or near completion of a PhD in psychology, epidemiology or public health Demonstrated experience analysing longitudinal quantitative data. Some experience with analysing qualitative data