285 data-"https:"-"https:"-"https:"-"https:"-"INSA-LYON" positions at Monash University
Sort by
Refine Your Search
-
Category
-
Program
-
Field
- Computer Science
- Mathematics
- Statistics
- Biology
- Medical Sciences
- Psychology
- Design
- Social Sciences
- Physics
- Engineering
- Electrical Engineering
- Arts and Literature
- Environment
- Law
- Education
- Linguistics
- Business
- Economics
- Earth Sciences
- Materials Science
- Chemistry
- Humanities
- Sports and Recreation
- 13 more »
- « less
-
interfaces that automatically highlight design elements of data visualisations and generate narrative to communicate insights (instead of just plotting data). The aim for this PhD is to research, prototype and
-
organisations, government agencies, technology giants, and enterprising start-ups -- to exploit the potential of indoor LBS. Consequently, indoor data management has gained significant research attention in the
-
site visits. This PhD project aims to leverage innovative spatial computing technologies and proposes Immersive Contextual Data Analytics (ICDA) as a method to address contextual analysis challenges by
-
Primary supervisor Patrick Olivier Co-supervisors Lay Ki Soon (Monash Malaysia) Aare Puussaar (Lived Informatics) Research area Action Lab Research data governance is an under-explored issue, and
-
Primary supervisor Patrick Olivier Co-supervisors Lay Ki Soon (Monash Malaysia) Aare Puussaar (Lived Informatics) Research area Action Lab Research data governance is an under-explored issue, and
-
Primary supervisor David Taniar Research area Databases and Distributed Systems This project investigates 3Vs of Big Data (e.g Volume, Variety, and Velocity). Volume : Due to the exponential
-
. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
-
. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
-
-Ouellette, S., & Rudzicz, F. (2021). BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience . [2] https
-
improper situational awareness is often a major cause. This project aims to exploit big spatio-temporal data to design intelligent techniques for scheduling and offloading tasks to the cloud and peer