Sort by
Refine Your Search
-
Category
-
Program
-
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
-
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 of transcription factors or RNA-binding proteins. DNA or RNA binding sites are often variable. However,...
-
In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
-
automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
-
, and friendliness. The ARC Industrial Transformation Training Centre for Optimal Ageing and Monash University The successful candidate will be a member of the Industrial Transformation Training Centre
-
support all aspects of eResearch systems, including responding to user requests. This role is responsible for managing, configuring, maintaining, and securing servers to ensure optimal performance
-
, flexible working arrangements may be negotiated. As the successful candidate you will play a pivotal role in designing and optimizing novel small molecules and drug candidates for a GPCR drug discovery
-
Transformation Training Centre for Optimal Ageing and Monash University The Monash School of Psychological Sciences is ranked among the best in the world. Our School’s mission is to develop students and research
-
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
-
that is a result of optimal planning with respect to an incorrectly learned neuro-symbolic (neural network) model. In this project, the following two fundamental research questions that are in the core