18 assistant-professor-and-human-centric-computing Fellowship positions at RMIT University
Sort by
Refine Your Search
-
experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
-
. As your experience grows, you’ll take on more responsibility and contribute more independently to the research program. We welcome applicants at either Level A (Research Assistant) or Level B (Research
-
Environmental Biotechnology Laboratory led by Distinguished Professor Andy Ball , based in the Department of Biology, School of Science at RMIT University (Bundoora campus). This role is part of the Solving
-
internationally recognised Australian university based in Asia, RMIT Vietnam is assisting in the development of human resources capability in Vietnam and the region. https://www.rmit.edu.vn/about-us
-
funded Discovery project in collaboration with the University of Melbourne and Olivia Newton John Cancer Research Centre, providing a great opportunity to translate your computational results to practical
-
Fellow will undertake research in applied LLMs, knowledge engineering and geospatial analytics and assist in the development of web application and software packages to translate the research outcomes. In
-
salary and 17% Superannuation Based at one of the RMIT’s Melbourne campuses (City, Brunswick or Bundoora) About the Program Each year, RMIT brings on the world’s best and brightest researchers and teams
-
on applied, industry-relevant quantum research in areas such as: Quantum sensing, navigation, and timing Quantum materials and manufacturing Quantum computing and communication Quantum fundamentals RAQT serves
-
are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
-
imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc