51 computer-aided-manufacturing Fellowship positions at The University of Queensland in Australia
Sort by
Refine Your Search
-
Physiotherapist to join the Physiotherapy team at UQ’s School of Health & Rehabilitation Sciences and the Physiotherapy department at the Royal Brisbane and Women’s Hospital, Metro North Health. Help us create real
-
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
-
conventional models undervalue information, and then use this understanding to improve management recommendations across ecological contexts. You will help drive innovative approaches to generalise value
-
geoenvironmental test work approaches and new or emerging technologies/techniques in this area Data science experience (including programming/coding) is desirable Industry experience or placements in the minerals
-
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
-
technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
-
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
-
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
-
translation, including commercialisation of UQ intellectual property. Develop a coherent research program and an emerging research profile. Supervision and Researcher Development: Contribute to supervision
-
project focused on developing a digital twin of a poultry breeding program. The project aims to investigate novel prediction technologies and alternative breeding program designs to create and prioritise