Sort by
Refine Your Search
-
[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
modelling from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel
-
NMT models where sufficient parallel corpora are not available (eg [1,2]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for
-
NMT models where sufficient parallel corpora are not available (eg [1,2]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for
-
The Lancet Digital Health (IF=36.615), The British Medical Journal (IF=96.22), JAMA Neurology (IF=29.91), Nature Nanotechnology (IF=39.21), Brief in Bioinformatics (IF=11.62), Hypertension (IF=10.19
-
aptitude. A formal ecology or biology background is not required although it would be an advantage. Similarly, an interest in image processing and/or photography would be helpful but is not required. Most
-
aptitude. A formal ecology or biology background is not required although it would be an advantage. Similarly, an interest in image processing and/or photography would be helpful but is not required. Most
-
scholarships funded by a national elite HDR training program: Data61 Next Generation Graduate (https://www.csiro.au/en/work-with-us/funding-programs/programs/next-generation-graduates-programs), and
-
edge data processing methods for mobile MRI scanners and testing in clinical enviroment. Required knowledge Excellent programming, image processing, optimisation background Affinity to work across
-
efficient and interpretable image processing, vision-based perception and planning modules to accurately predict driving trajectories and controls for high-fidelity autonomous driving. Additionally
-
; Haffari, Reza; Qi, Guilin. Few-shot Complex Knowledge Bases Question Answering via Meta Reinforcement Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP'20) . Hua, Yuncheng