320 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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postgraduate research students. Ability to contribute to the teaching and learning program in a relevant field. Qualifications: Mandatory: PhD in Ecotoxicology or Environmental Science or in a relevant field
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for (Selection Criteria): Essential: A doctoral qualification in a relevant engineering, computing, or physical sciences discipline. Demonstrated research expertise in data analytics, machine learning, artificial
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that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout
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meaningful change to the aged care sector. About You You will hold a PhD (or equivalent) in a field relevant to aged care and/or health care and be a qualified health professional eligible for registration in
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and the School of Computing Technologies to advance research on bushfire evacuation and emergency planning and preparedness in hazard events. You will support the research aim and objectives of the ARC
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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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organisations, and by the broader offshore engineering industry. About you A PhD (or nearing submission) or equivalent industry experience in geotechnical engineering or a closely related field. Relevant research
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the academic promotions process. About You Qualifications and Field of Expertise: Completion of a PhD in Systems and Synthetic Biology, Molecular Engineering, Bioengineering, Chemical Engineering, or a closely
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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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strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do