361 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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-based health care. High level interpersonal, communication and organisational skills. Ability to contribute to a diverse and collaborative team environment. Commitment to ongoing learning. Level B: PhD in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
expertise in one or more of a broad range of computational methods including but not limited to: machine learning / AI, spatial computing, computational creativity, text encoding, social media analysis
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
and digital methods. Position overview We are interested in candidates with expertise in one or more of a broad range of computational methods including but not limited to: machine learning / AI
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, epigenetics, development, and cell biology to lead and contribute to cutting-edge research. To be successful you will need: A PhD in Cell Biology, Molecular Biology, Genetics, Biochemistry, or a related area
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need: A PhD in epidemiology, public health, medical sciences or other areas relevant to primary health care Demonstrated experience contributing to the coordination of quantitative health research
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Institutions are invited to apply for the 2025-26 ACSPRI Fellowship Program. Valued at $25,000, the fellowship will help PhD students to achieve their career goals, by providing direct financial support and
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Scholarship Smithsonian Institution: Fellowship Program Application is required. Key scholarship details Application status Open for applications Benefit amount Up to $150,000 Eligible study level
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Research Fellow/Senior Research Fellow, Economic Security Program Full time, continuing role Salary range $115K - $145K exclusive of super (determined based on experience) Join the Economic Security
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: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area, such as statistical machine learning, computational and quantitative
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of these publications and your part in these. Selection Criteria: Essential PHD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial