Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of criminal organizations. Required knowledge Graph Theory, Machine Learning, Python programming
-
or environments. This approach enhances surveillance capabilities, offering a means to attribute suspects based on behavior rather than appearance. Required knowledge Python programming Machine learning background
-
for detection purposes, this project also involves collecting and/or generating different datasets for experiments. Required knowledge Python programming Machine learning background
-
at Monash University. The successful candidate will join our world-leading team in Temporal Analytics Lab, a world leading research group uniquely combining research in time series forecasting, classification
-
to learn robotics or human-centered research methods will also be considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS
-
enforcement, tourism, and transportation by automatically identifying and categorizing critical public spaces. Required knowledge Python programming Machine learning background
-
manner, or we could adapt alternative forms of LLMs like JEPA. Required knowledge Good Python coding and operational experience with LLMs. Basic Bayesian understanding.
-
Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
-
PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
prototype A prototype that can support secure code review by producing patch trust scores and review recommendations. Required knowledge Essential Python programming, Machine learning fundamentals, Deep
-
. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch