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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in the discipline area (which can include
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professionals, and educators, we aim to inform policies and practices across various key sectors. About You The successful applicant will have a PhD or equivalent - in gender studies, sociology, public health
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for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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the community To be successful, you’ll have: PhD in a relevant discipline and/or other relevant qualifications and experience Emerging research and scholarship through publications, and/or exhibitions
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strong background in health-related projects. More specifically, you will have: A relevant PhD and a growing profile in research in the discipline area. Evidence of an emerging research and publication
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at conferences, NDRI webinars and other opportunities for dissemination as they arise. Supervise and support Honours, Master’s, and PhD students in their research projects. Contribute to grant writing and
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transitions and agricultural extension and advisory systems. You may be a great fit if: You are a passionate social scientist with a PhD in agriculture, environmental science, or cultural and natural resource
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researcher with a PhD in agricultural extension, education, or agricultural economics, possessing excellent interpersonal skills and the ability to work collaboratively in interdisciplinary fields while
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academic at the Faculty of Arts You may be a great fit if: You are a passionate researcher with a PhD and a background in Social Studies of Technology, Anthropology, Human-Computer Interaction or related
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to writing competitive grant proposals and funding applications. Mentor and Supervise: Guide Honours, Masters, and PhD students, as well as early career researchers. Collaborate and Communicate: Work with