53 proof-checking-postdoc-computer-science-logic Fellowship positions at The University of Queensland in Australia
Sort by
Refine Your Search
-
process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated
-
of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
-
to contribute to student supervision and research development, as well as service and engagement roles and activities. Key responsibilities will include: Research: Contribute to and develop a research program
-
School of Mechanical and Mining Engineering - Faculty of EAIT Full-time, fixed-term position for up to 2 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation
-
research team working at the intersection of nanotechnology and clinical sciences. You will contribute to the development of cutting-edge technologies for precision diagnostics, biosensing, and application
-
the development and implementation of the Living Systematic Review program as part of the National Allergy Centre of Excellence (NACE). This is a unique opportunity to shape national research in food
-
Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation Full-time, fixed-term position for up to three years Base salary will be in the range $80,448 - $107,104 + 17
-
School of Chemical Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $114,824.05 - $136,048.72 + 17% Superannuation (Academic
-
School of Mechanical and Mining Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 21 months Base salary will be in the range $114,824.05 - $136,048.72 + 17
-
Physics, Chemistry, Materials Science, or a closely related discipline. An emerging profile in research in computational condensed matter physics, materials science, or chemistry. Demonstrated expertise in