Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Conservation management needs reliable information about how many animals a population holds and whether that number is changing over time. Yet for most threatened species such estimates are often unavailable or imprecise, either because the species is cryptic and hard to detect by visual...
-
/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against ensembles of diverse opponents.” Neural Computing and Applications (2025). https://doi.org/10.1007/s00521-024-10511-9
-
Length and Kolmogorov complexity", Computer J
-
computer literacy and the ability to manage a significant file load under pressure while maintaining absolute discretion and ethical standards. About Monash University At Monash , work feels different
-
Background Colorectal cancer is a major health challenge, and early detection and accurate risk assessment are important for improving clinical outcomes. The increasing availability of clinical, demographic, lifestyle, laboratory, imaging and longitudinal health data provides opportunities to...
-
the Australian Government Research Training Program Fees-Offset . About the project Workers’ compensation, Job Seeker and Disability Support Pension, are central components of Australia’s social safety net. These
-
from Monash Graduate Research Office as a one-off travel grant The Opportunity As part of the CSIRO Industry PhD scholarship program , this is an unprecedented opportunity for an outstanding data science
-
Syncytial Virus (RSV) monitoring and evaluation program of work. The position will contribute to projects under the National RSV Monitoring and Evaluation Framework, including the evaluation of the processes
-
science? This project uses game theory and computational models to study science as a social system. The precise question will be developed with the student and could focus on publishing, peer review
-
of foundation models in natural language processing and computer vision, this project seeks to develop general-purpose graph foundation models capable of learning transferable representations from large-scale