129 parallel-computing-numerical-methods positions at Queensland University of Technology in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
opportunities for our students. Our main administration office is located at Gardens Point campus, with facilities at our Kelvin Grove student centre. On both campuses we have computer labs, places to study and
-
superannuation contributions, vehicle leasing, and on-campus services such as childcare, parking, and gyms. Numerous opportunities for professional development including leadership programs and workshops, and our
-
childcare, parking, and gyms. Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme. Commitment to our Indigenous Australian staff
-
) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
-
. Purchased Leave Scheme - up to 8 extra weeks. Salary Packaging Scheme for additional superannuation contributions, vehicle leasing, and on-campus services such as childcare, parking, and gyms. Numerous
-
services such as childcare, parking, and gyms. Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme. Commitment to our Indigenous
-
services such as childcare, parking, and gyms. Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme. Commitment to our Indigenous
-
contributions, vehicle leasing, and on-campus services such as childcare, parking, and gyms. Numerous opportunities for professional development including leadership programs and workshops, and our study
-
, vehicle leasing, and on-campus services such as childcare, parking, and gyms. Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme
-
outcomes of this project include innovative methods for robot learning to improve shared movement quality. The PhD candidate will research movement and choreographic structures applied to human-robot