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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
evaluated on physical robots. The ideal candidate would have: A PhD (or close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by
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coherent research program and apply best-practice methodologies. Supervision and Researcher Development: Support and supervise Honours and Higher Degree by Research students, foster researcher development
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Fellow to join The University of Queensland’s Node of the EarthBank Program — a newly established national geoscience initiative under NCRIS AuScope. EarthBank is a transformative program aimed at
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your early career research plan with guidance from mentors and supervisors. To be successful, you’ll have: PhD in a relevant discipline and/or other relevant qualifications and experience. Demonstrated
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the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine
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University of Melbourne, The Kids Institute, and associated research higher degree student(s). The appointee will have completed a PhD in applied mathematics, computer science, or a related discipline. Ideally
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You For Level A Applicants will have completed or be near completion of a PhD in quantitative genetics, animal breeding, computational biology, or a related field. Additionally, you will demonstrate
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technologies, with a specific focus on electrode/electrolyte interface studies for secondary batteries. The successful candidate will have recently completed, or be nearing completion of, a PhD in a relevant
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of Mechanical, Medical and Process Engineering, Faculty of Engineering. The Artificial Heart Frontiers Program (AHFP) is seeking a highly motivated Mechanical Engineer with a specialisation in Computational Fluid
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provided throughout the recruitment process. To be successful you will need Postgraduate qualification relevant to research (Level A); PhD preferred (Level B) Experience implementing data collection and