Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- University of Sydney
- UNIVERSITY OF SYDNEY
- University of New South Wales
- The University of Queensland
- CSIRO
- Chapman University
- Queensland University of Technology
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Flinders University
- Macquarie University
- RMIT University
- University of Melbourne
- Adelaide University
- CNRS
- University of Southern Queensland
- Forschungszentrum Jülich
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- RMIT UNIVERSITY
- The University of Southampton
- University of Lund
- Centrale Lille Institut
- Curtin University
- Deakin University
- Inria, the French national research institute for the digital sciences
- The University of Newcastle
- University of North Carolina at Chapel Hill
- University of Stirling
- 18 more »
- « less
-
Field
-
PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
by producing patch trust scores and review recommendations. Required knowledge Essential Python programming, Machine learning fundamentals, Deep learning basics, Cybersecurity fundamentals, Software
-
actionable insights for decision-making and planning. Required knowledge AI and machine learning (time series prediction, GNNs, or deep learning) Digital twin design and simulation frameworks Programming (<b>Python</b>, MATLAB, or relevant simulation tools) Learn more about minimum entry...
-
actionable insights for decision-making and planning. Required knowledge AI and machine learning (time series prediction, GNNs, or deep learning) Digital twin design and simulation frameworks Programming (<b>Python</b>, MATLAB, or relevant simulation tools) Learn more about minimum entry...
-
creating, managing, and analyzing large data sets, for example, using Python on IQVIA databases that contain billions of claims records and dispensing records. Assist faculty and graduate researchers
-
suspects based on behavior rather than appearance. Required knowledge Python programming Machine learning background Learn more about minimum entry requirements .
-
. Required knowledge Python programming Machine learning background Text analysis Image analysis Learn more about minimum entry requirements .
-
suspects based on behavior rather than appearance. Required knowledge Python programming Machine learning background Learn more about minimum entry requirements .
-
these algorithms, evaluating their performance empirically, and comparing them with existing approaches. Required knowledge Python programming Machine learning background Image analysis Video analysis Learn more about minimum entry requirements .
-
in data collection, analysis, and applied industry research. Required knowledge R Packages Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA) Learn more about minimum entry requirements .
-
experiments. Required knowledge Python programming Machine learning background Learn more about minimum entry requirements .