305 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Mathematics
- Statistics
- Biology
- Medical Sciences
- Psychology
- Design
- Social Sciences
- Physics
- Engineering
- Arts and Literature
- Electrical Engineering
- Environment
- Law
- Education
- Linguistics
- Business
- Economics
- Earth Sciences
- Materials Science
- Humanities
- Chemistry
- Sports and Recreation
- 13 more »
- « less
-
programming background with fundamentals in machine learning and data science. Experience in building visualisations and interactive immersive environments (using game engines like Unity3D) is
-
during live engagements, to facilitate more specific and timely content recommendations by service providers to enhance user engagement. Analysing website activity data to identify potential crisis points
-
during live engagements, to facilitate more specific and timely content recommendations by service providers to enhance user engagement. Analysing website activity data to identify potential crisis points
-
) and data engineering for reproducible research. Familiarity with cloud/HPC workflows, containerisation (Docker), and basic bioinformatics pipelines will be preferred. Cross-disciplinary training and
-
) and data engineering for reproducible research. Familiarity with cloud/HPC workflows, containerisation (Docker), and basic bioinformatics pipelines will be preferred. Cross-disciplinary training and
-
sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Among the approaches used will be the Bayesian information-theoretic
-
sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Among the approaches used will be the Bayesian information-theoretic
-
algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum computational techniques can be combined with classical systems to improve performance
-
algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum computational techniques can be combined with classical systems to improve performance
-
Primary supervisor Mohammed Eunus Ali Research area Vision and Language Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and