237 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" uni jobs at Monash University
Sort by
Refine Your Search
-
Listed
-
Field
-
known human reasoning difficulties and fallacies. It will also investigate how to reduce human cognitive load by prioritising the most useful information for the user. Expected outcomes include novel AI
-
the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task to the observer. This Ph.D. project will provide a unified probabilistic and decision-theoretic
-
resource for individuals seeking assistance, information, and guidance related to addiction and mental health concerns. The helplines at Turning Point are staffed by trained professionals who offer
-
paradigms rely on a fragile "closed-world" assumption: that the unlabeled pool perfectly reflects the distribution of the labelled seed set. In real-world deployments, this is rarely true. Data streams
-
reconstruction and data analysis. The PhD students will be working at Monash Biomedical Imaging and Faculty of Information Technology, Monash University. Monash Biomedical Imaging is one of the most advanced
-
and questionnaires and manage data collection and analysis. It will also ensure REDCap data integrity, prepare protocol-aligned results and support reporting, manuscripts, presentations and related
-
area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
-
The proliferation of misinformation and disinformation on online platforms has become a critical societal issue. The rapid spread of false information poses significant threats to public discourse
-
data Reporting and Research Program (CORRP). Based at 553 St Kilda Road, this role contributes to a Commonwealth Government funded national clinical quality registry that monitors outcomes of procedures
-
weighted sum of the risks from tens to millions of independent disease-associated SNPs from across the genome. The conventional, or gold-standard, approach to analysis of GWAS data is to fit a regression