324 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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Opportunity Our School of Psychology is one of the most prestigious schools of psychology in Australia, with a thriving and dynamic research profile in Cognitive and Computational Psychology. This is an
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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. Please Note: Appointment to this position is
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to research as part of our academic team. Ideal Candidate The ideal candidate will hold a PhD in a field relevant to Investing in Women’s priorities and have a strong track record of independent research
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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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- delivering a broad range of programs in Business, ranging from Certificates up to PHD levels. Many programs articulate between Vocational Education and Higher Education, creating pathways for further study
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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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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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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