Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
of Machine Learning as the problem of approximating function f from the pair of measurements (x,y), and Optimization as the problem of finding the value of input x that maximizes the output y given
-
research often overlooks the complexities of mixed-vehicle environments, and the development of optimal deployment, routing, and charging strategies. This project aims to address these gaps by optimising
-
Distribution Drift Data-Efficient Deep Learning for De Novo Molecular Design from Analytical Spectra Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT
-
from you Monash University seeks applicants for this opportunity who are able to demonstrate and present valid and current Australian work rights. About Monash University At Monash , work feels different
-
standards of animal welfare. This is a unique opportunity to join Monash University in a role currently seconded to our trusted facility management partner, where your work will directly support researchers
-
compressed into lightweight student models using knowledge distillation, enabling efficient real-time inference on mobile devices. The distilled models will be deployed and optimized on mobile platforms, with
-
determining the appropriate design pattern for a specific scenario, identifying relevant quality attributes for a particular design choice, and recognizing the optimal timing for implementing a refactoring
-
Active Learning Under Distribution Drift Data-Efficient Deep Learning for De Novo Molecular Design from Analytical Spectra Authorised by: Marketing, Faculty of IT , Monash University . Maintained by
-
approaches. Apply hybrid optimisation techniques (e.g., quantum-inspired or QAOA-based methods) to determine optimal intervention strategies under resource constraints. Compare the performance, scalability
-
Apply your expertise in a role that truly makes a difference About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a