503 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at Monash University
Sort by
Refine Your Search
-
Listed
-
Field
-
to facilitate novel bodily water play interactions in-water, on-water and underwater. An interest and experience with water-based activities, interactive technology, hardware prototyping (including actuators
-
be enrolled in the Bachelor of Nutrition Science (Scholar Program).As a Scholar Scholarship student, you’ll be guaranteed entry into our Master of Nutrition and Dietetics (provided you maintain a 70
-
resident Australian humanitarian visa holder You must meet the following criteria: A student commencing a Mathematical Sciences Honours Program in the Faculty of Science at a Monash campus in Australia. Must
-
with generous top-up scholarships. We're looking for talented students with a background in mathematics, computer science, statistics, economics, engineering or other related fields. These positions
-
systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
-
operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
-
students who are experiencing difficult personal circumstances. This scholarship has been established by the Smith family in honour of the late Mr Michael John Smith, and his legacy as an egalitarian with a
-
classification'', Computer Journal, Vol 11, No 2, August 1968, pp 185-194 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov
-
ambition and leadership qualities in the field of Electrical and Computer Systems Engineering. The scholarship is provided by former Monash University Chancellor Mr Jerry K Ellis and Mrs Ann Ellis, and is
-
. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch