Sort by
Refine Your Search
-
, infer arbitrarily closely to any model underlying data. We endeavour to do the following: Apply MML to test datasets (degenerate motifs of 6-12 base pairs and with 1 to 2 variable nucleotides) Apply MML
-
Research Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details This opportunity invites applications
-
management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
-
-reality application development; modern AI techniques (such as computer vision or large multimodal language models); and/or human-computer interaction. Our industry partners are developing software
-
COVID-19 coronavirus and we seek a sustainable path forward. We collect a variety of human opinions to help model and predict the various changes in various parts of the workforce. This will assist in
-
will apply Lead the strategy to TRANSFORM how students experience Monash University Flexible remuneration structure - annual package including 17% super! Hybrid working model The Opportunity We’re
-
institute that has developed an innovative collaboration research model, which seeks to create knowledge and influence thinking so that people can lead healthier lives. ISCRR conducts and facilitates research
-
change impacts, conducting process modeling, and ensuring effective implementation while guiding stakeholders through the change process. As part of the Student Management System Transformation Project
-
program. In this dynamic research environment, you’ll support key activities such as coordinating preclinical trials, conducting experiments with specialised technologies and developing procedures
-
accepted by the intended users due to their limited capabilities to sustain long-term interactions. In this project we propose to develop compositional vision-language models for social robots, enabling them