Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
DNA or RNA motif discovery is a popular biological method to identify over-represented DNA or RNA sequences in next generation sequencing experiments. These motifs represent the binding site
-
learning is vulnerable to spurious correlations, novel causal discovery and inference methods will be developed to identify and reason over causal relationships among all associations from fused data. As the
-
publications. It involves conducting systematic reviews and working with analytical software such as R or Python, with a focus on both independent and collaborative research. The role also requires experience in
-
experience with analytical software like Stata, R, or Python, are essential. The ideal candidate will also have experience with geospatial tools. Additionally, you will have experience designing and managing
-
This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
-
skilled researcher who brings: A PhD in Computational Neuroscience, Physics, Engineering, Computer Science, Psychology, or a related discipline Strong quantitative and programming skills (preferably MATLAB
-
This is one of our CSIRO Next Generation AI graduate programme PhD projects with Future Wellness Group: https://www.monash.edu/it/ssc/raise/projects/personal-future-health-prediction Note: *** Must
-
, the developed methods can help identify emerging trends and patterns in rhetoric or planning activities, allowing for timely intervention by authorities. These monitoring systems are essential for public safety
-
Computational simulations are now widely employed to study the behaviour of social systems, examples being market behaviours, and social media population behaviours. These methods rely heavily
-
and food chains. These methods implement evolutionary processes in virtual populations of software agents and explore the evolution of their behaviour in diverse environments. Many behaviours