18 parallel-and-distributed-computing-phd-"Multiple" research jobs at RMIT University
Sort by
Refine Your Search
-
ability to work in the field in aquatic/terrestrial environments. This can include working multiple days in the field Ability to work autonomously whilst displaying a strong commitment to work in a team
-
multidisciplinary teams, with strong problem-solving skills and the capacity to manage multiple project tasks from design through to testing and delivery. Ability to build effective networks with colleagues and
-
, their spouse, and children at the end of their contract. School tuition fees for children to attend the K-12 program in Vietnam, up to $20,000 per child or $40,000 for two children per year. Premium private
-
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
-
, construct, operate and dispose of infrastructure in a carbon neutral way. By training industry-embedded PhDs and postdocs in the methodology and technology required to design out excess carbon
-
the new structure determination technique. To be successful in this position, you will have: PhD in Physics, Chemistry, Structural Biology, Biochemistry or related field. Evidence of experience in
-
Overview: Full-time, Fixed Term for 3 Years Salary Academic Level A6-B1 ($102,047 -$115,303 p.a.), depending on post-PhD experience 17% Superannuation and Flexible Working Arrangements Based
-
successful in this position, you’ll have: A Master or Honours degree in Computer Science related field Demonstrated expertise in ML, with significant experience in designing and implementing large-scale models
-
tools rapidly. Good communication skills appropriate for multidisciplinary collaboration. Ability to coordinate teams and conduct timely management of research projects. Qualifications Level B: Hold a PhD
-
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