Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
suited for a student with good skills in mathematics and computer science, and an interest in information theory and evolutionary science. PhD applicants with honours or research masters degree in an
-
diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior experience with programming (e.g., Python), machine learning, or
-
diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior experience with programming (e.g., Python), machine learning, or
-
systematic review of current approaches and trends." Frontiers in artificial intelligence 4 (2021): 550030. Required knowledge A successful candidate should have: a degree in Computer Science, Information
-
-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/ Project funding Other Learn more about minimum entry requirements .
-
-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/ Project funding Other Learn more about minimum entry requirements .
-
The candidate should have a strong background in optimisation and/or computer science. Learn more about minimum entry requirements .
-
Primary supervisor David Dowe Co-supervisors Paul Lasky Kendall Ackley Research area Data Science and Artificial Intelligence The recent discovery in 2015 of gravitational waves from colliding black
-
Primary supervisor David Dowe Co-supervisors Paul Lasky Kendall Ackley Research area Data Science and Artificial Intelligence The recent discovery in 2015 of gravitational waves from colliding black
-
areas of computer science. ML’s versatility stems from the wealth of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML