Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
for inference, yet differs from standard Bayesian approaches through its information-theoretic foundation. The MML87 approximation achieves computational tractability while remaining virtually identical to Strict
-
Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...
-
should have strong knowledge in a discipline or background that supports them to undertake the proposed project (e.g. human-centred computing/ computer science, engineering, social science, science
-
in Rail Technology – Join the IRT Team The Institute of Railway Technology (IRT) at Monash University is seeking a Senior Data Engineer to lead the design and delivery of high-performance, scalable
-
AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
-
Computing) — Australia’s first AI-focused supercomputer in higher education. This investment will power next-generation AI and data-intensive research projects in areas such as health, climate science
-
of a team as well as the ability to exercise independence and judgement where required Highly developed computer literacy, including experience using business software such as Microsoft Office Strong
-
technology leader to manage the transition of workstations and servers from our Malaysian Campus’ Active Directory environment into our existing corporate Active Directory. Key Responsibilities Lead the
-
research. Working closely with the Health Economics Program Lead, you will lead and support economic evaluations alongside clinical trials, including adaptive platform trials and novel trial designs, while
-
Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions, intelligent components learn their decision logic from data corpus in an end-to-end manner and act...