Sort by
Refine Your Search
-
completed a relevant Bachelor’s Degree and Honour’s or Master’s. Desirable criteria: Practical experience and conceptual background in cellular immunology. Interest in, and ability to, learn bioinformatics
-
This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds
-
This project is aimed at developing platforms to provide security in the post-quantum era. The project aims to incorporate quantum technologies, including quantum machine learning and quantum
-
in, and ability to, learn bioinformatics. Experience in tissue culture. Applicants need to have a background in immunology, genetics or bioinformatics. They must have completed a relevant Bachelor’s
-
representation learning paradigm. This approach allows each user to disclose an incomplete yet distinct set of personal information while still learning expressive user representations from that data
-
ADM+S invites applications for PhD scholarships from students interested in the following areas: The development and distribution of automated decision-making (ADM) systems The applications
-
skills demonstrate the ability to work as part of a multi-disciplinary research team meet RMIT’s entry requirements for the PhD by research degree Eligibility requirements: have a first-class Honours or
-
. For international applicants, evidence of English proficiency may be required. Once approved, prospective candidates will be required to submit an application for admission to the PhD (Computer Science) program
-
@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
-
at the intersection of user modelling, multi-agent systems, simulations and modelling, reinforcement and deep learning, evaluation and responsible AI. We understand it is unlikely someone will have a background in all