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practice, and educational innovation and can contribute to a growing community of practice of education-focused academics across the University. Selection Criteria: a PhD in Law or a closely related field
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student experience apply for research funding to develop your research area publish in high-quality international outlets Selection Criteria: PhD in a field relevant to the position and/or significant
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and multidisciplinary collaboration. Mandatory: Must have submitted a PhD or equivalent in relevant field This project will engage closely with Australian Defence and thus a trajectory towards
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science and exercise physiology program. Key skills required: Level B A PhD in a related discipline, and/or relevant work experience Accreditation with Exercise and Sports Science Australia (ESSA) as an
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to these values. We are seeking an excellent candidate for a Postdoctoral Research Associate in 3D Deep Learning for Vision and Lidar position who has: a PhD (or near completion) in a relevant field background
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this role, you’ll bring: A PhD in a relevant field. Proven record of scientific excellence, originality and research independence. Commitment to team science, open, responsible research (FAIR data), and a
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), Honours and postgraduate students. Skills and Experience To be considered for this position, you will have Completion of a PhD in a relevant field or equivalent accreditation and standing recognised by
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, Full-time Reference: 100927 As the successful candidate, you will bring: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline
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) + 15.4% superannuation Tenure & work schedule: Specified term of 3 years Reference: 101105 As the successful candidate, you will bring: Essential criteria A PhD (or equivalent) with managerial experience
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: PhD in a field relevant to the position and/or significant heritage sector experience demonstrated ability to develop, coordinate, and evaluate teaching and learning in urban and/or heritage studies