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until 30/04/2027 Faculty: Faculty of Engineering and Information Technology Department/School: School of Computing and Information Systems Salary: Level A $83,468- $113,262 with a PhD starting salary of
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of Melbourne and St Vincent’s Hospital Melbourne, supporting early/midcareer clinical researchers who have completed or nearly completed their PhD. The fellowship is also suitable for clinicians returning from
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effectively with industry partners. You excel both as an independent researcher and as a valuable contributor within a close-knit team environment. You will also have: A PhD in Forest Science, Spatial sciences
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demonstration of both the capability and enthusiasm to cultivate an academic research career path is essential. You will also have: Completion of a PhD in physics or a related discipline Demonstrated experience
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staff, collaborators, and students. Additionally, you should show the ability to work collaboratively within a diverse workforce. You will also have: Completion of a PhD in soil science or a related
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effectively in diverse, multidisciplinary teams. You will also have: Completion of a PhD in in cancer biology, with a focus on cell cycle biology, epigenetics, immunology, or a related discipline. Demonstrated
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respectful, inclusive behaviours at all times and building trust amongst colleagues Who We Are Looking For We are seeking a passionate educator, with a completed PhD in Italian, or a related discipline, with a
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and supportive environment. You will also have: A completed or near completed PhD in History with a focus on colonialism or imperialism; Capacity to teach the history of the British Empire 1750 – 1900
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large number of PhD students, and a substantial cohort of graduate students in our coursework master’s programs. Visit the website below to learn more about CIS! https://cis.unimelb.edu.au/about/school
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, nursing, science or similar, with post-graduate implementation science research experience. Completion of a PhD or equivalent qualification. Experience in the collection and analysis of qualitative data