54 parallel-computing-numerical-methods Fellowship positions at The University of Queensland
Sort by
Refine Your Search
-
completion of a PhD in geomechanics, energy engineering, geophysics, and/or geodynamics. An established record of scientific achievements in geomechanics and geomechanical numerical modelling, including
-
responsibilities will include, but are not limited to: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice
-
School of Electrical Engineering and Computer Science – Faculty of Engineering Part-time (40%), fixed-term position for up to 12 months Base salary will be in the range $114,824.05 - $136,048.72
-
their potential for antibiotic production. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable
-
independently and design/interpret experiments using in vivo animal models and ex vivo methods, adhering to PPE requirements (including PAPR use with restricted carcinogens). Demonstrated critical thinking
-
or computational frameworks. Strong interest in method development, including algorithms and/or scientific software development, with a willingness to contribute to codebases or tool creation. Evidence of
-
damage in composite repairs due to environmental degradation and mechanical loading. This research requires deep understanding of analytical and experimental ultrasonic NDT methods, demonstrated knowledge
-
School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
-
modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to
-
. The successful candidate will develop computational tools for analysing gene expression (single cell, spatial) and metabolomic data in the context of cancer including melanoma and pancreatic cancer. You will lead