13 processor-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DESY" PhD positions in Australia
Sort by
Refine Your Search
-
. Depending on the candidate's background and research direction, approaches may include computer vision, representation learning, graph neural networks, multimodal learning and scientific machine learning. A
-
. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
-
motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
-
. Waiting for www.newcastle.edu.au to respond Why is this verification taking longer? This verification can take longer due to an older computer or a slow internet connection. What to do next: Wait briefly
-
Image processing and computer vision Experimental data analysis and uncertainty quantification Piezoelectric actuation, acoustic systems or electronic driver development Eligibility and Project
-
spectroscopy and Gaia data of star clusters to decipher the mystery of the Lithium-rich giant stars" (with Prof John Lattanzio) "The origin of the heavy elements: Computer simulations of neutron-capture
-
resulting model will support applications such as cognitive state estimation, brain–computer interfaces, and mental wellbeing monitoring. The learned representations will also enable integration with language
-
should ideally have experience in: Essential Deep learning and machine learning Computer vision Python programming PyTorch or TensorFlow Strong mathematical and analytical skills Desirable Video
-
explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
-
supported by an ARC Industry Fellowship, in partnership with Bush Heritage Australia. The student will work closely with ecologists and computer scientists at QUT and conservation managers at Bush Heritage