24 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Sydney
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languages (C, C++, C#, Python, Matlab), experience with machine learning in robotics or computer vision, a desire to advance resilient, introspective processing architectures in robotics, a desire to work
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to identify and remove biases and barriers in an effort to make our workplace open, supportive and safe for everyone. To learn more about the School of Physics, click here About you The University values
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needs. Specific Expertise: Digital Phenotyping Lead: Expertise in sensing technologies, computer vision, machine learning, and robotics, specifically within a real-time field context. Digital Twin Lead
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literacy, research, planning and organization, and effective communication. demonstrated understanding of the subject matter within the discipline and experience in conducting original research or scholarly
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double-edged sword” funded by the Australian Research Council. The project will use state-of-the art computer models that incorporate the latest frameworks on soil organic matter interacting with plant
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to operate and maintain synthetic laboratory equipment ability to conduct or learn associated skills such as computational docking and biophysical assays. Base Salary The base salary will increase in July 2025
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Carbon Modelling. This position offers an exciting opportunity to make use of the recent developments in AI and machine learning algorithms by measuring soil properties rapidly over a large area using cost
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science and lipids. Experience with AI and machine learning is preferrable but not mandatory experimental skills on microfluidics, analytical techniques, microscopies (fluorescent, confocal and electron
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of vaping. The positions will involve the coordination of ongoing research trials to evaluate the OurFutures Vaping program among high school students, as well as contributing to the development and
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Full time research position, initial two-year fixed term with possibility of extension Opportunity to lead a research program in peptide drug discovery Located at the Chemistry Building (F11