129 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in Australia
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trials. In this role, you will lead the design, development, and deployment of a real-time clinical AI evaluation platform across Australia, while building your research profile in machine learning with
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Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record evidenced by first-author publications in strong international journals and conferences. Proven experience in
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engineering and a strong foundation in data science. You bring a passion for solving complex problems and a track record of research excellence in optoelectronic materials, machine learning, or related fields
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focus of this Winanga-y Postdoctoral Fellowship role is to address a critical gap in agricultural technology adoption by investigating how AI and machine learning outputs can be better translated
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
conference presentations. You will be able to work both independently and as part of a diverse research team. Experience with machine learning, array seismology, or planetary mission data analysis (such as
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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
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outputs of a team dedicated to translating discovery into meaningful impact for people living with Friedreich Ataxia. We are seeking someone with a PhD in computer engineering, biomedical engineering
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best-practice and improve care and services. Working collaboratively across ARIIA, the Research Fellow will participate in the co-design of innovative approaches and multi-modal learning resources
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genetic variation into elite germplasm. This will require the integration and optimization of several technologies, including genomics, machine learning, genetic simulation, and speed breeding. This is a