5 machine-learning-phd research jobs at University of Adelaide

Grant-Funded Researcher (A/B) - Data Science & Machine Learning

University of Adelaide | Australia Square, New South Wales | Australia | about 19 hours ago

the integration of cutting-edge technologies, including imaging and video analysis, sensor technology, IoT devices, biochemical sensors, and machine learning. The project’s primary goal is to develop sustainable

Image and Data Researcher (Level A/B)

University of Adelaide | Adelaide, South Australia | Australia | about 19 hours ago

. Selection Criteria Level A 1. A PhD in Remote Sensing, Plant phenotyping, Computer Vision, Machine Learning, or a related field. 2. Strong experience in image processing and computer vision, particularly

Postdoctoral Research Fellow (A/B) (with PhD)

University of Adelaide | Adelaide, South Australia | Australia | about 19 hours ago

proteomics. With close links to industry, this role also offers the opportunity to collaborate with local and international experts in E3 ligase biology and ubiquitin signalling, machine learning/Artificial

Postdoctoral Research Fellow (A) (with PhD)

University of Adelaide | Adelaide, South Australia | Australia | 2 months ago

have a PhD in Computer Science or Machine Learning (or be able to demonstrate equivalent research experience) and possess a deep and demonstrable knowledge of these fields.  They must be a strong team

Grant-Funded Researcher (A) - Remote Sensing and Vegetation Ecology

University of Adelaide | Adelaide, South Australia | Australia | 2 months ago

/machine learning, and programming analyses. Demonstrated ability to conduct independent research in the remote sensing of vegetation, including leading research and overseeing postgraduate and honours