335 programming-language-"St"-"University-of-St"-"St" positions at Monash University in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
has been identified References: Comley, Joshua W. and D.L. Dowe (2003). General Bayesian Networks and Asymmetric Languages, Proc. 2nd Hawaii International Conference on Statistics and Related Fields, 5
-
sound interpersonal skills, along with excellent written and oral communication skills. Our culture is one that welcomes all and embraces diversity. We are firm believers that our people are our most
-
. Required knowledge - self-motivated, willing to spend time and efforts in research - good programming and analysis skills - good communication skills (oral and writing) - good background in software testing
-
- good programming and analysis skills - good communication skills (oral and writing) - good background in software testing and debugging - (can be obtained during project) a reasonable knowledge of AI
-
applying AI/ML techniques (deep learning, natural language processing, computer vision, reinforcement learning) to complex scientific problems Expert Python programming with major ML frameworks (TensorFlow
-
debates in the wake of the National Climate Change Risk Assessment and National Adaptation Plan. Possible PhD topics include but are not limited to: How to close the adaptation funding gap through
-
to materials relating to Indigenous cultures, histories, languages and research. As the successful candidate you will be responsible for identifying, and managing materials related to Indigenous cultures
-
will support the Creative Destruction Lab (CDL) program by managing the application and admissions process, including engaging with applicants, coordinating interviews, and assessing submissions
-
challenge is to create disentangled representations for paralinguistic information and the content of speech. Herein, a component of such a disentangled representation contains only necessary information
-
With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth