Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and
-
Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
-
and computational facilities and laboratories that support a vibrant postgraduate research community, and research partnerships spanning academia, government and the resources industry. The successful
-
seven schools, spanning engineering, computer science and project management, see the University of Sydney consistently rank amongst the best engineering universities in Australia and the
-
ANSTO (Australia), Imperial College London (UK), and Tokamak Energy (UK), is launching a groundbreaking research program focused on developing new materials for compact tokamak reactors. We are recruiting
-
) Sydney, in partnership with ANSTO (Australia), Imperial College London (UK), and Tokamak Energy (UK), is launching a groundbreaking research program focused on developing new materials for compact tokamak
-
contribution of 17% superannuation applies. 24 Months Fixed term Part time position until Oct 2027. This postdoctoral position in computational cognitive science and data science offers an exciting opportunity
-
Research Associate to join our dynamic team and contribute to pioneering research in cancer and stem cell biology. In this role, you will design and conduct experiments aimed at developing next-generation
-
that match the tenure of this role About Us: The Population Biology and genomics Group The Population Biology and Genomics Group is focussed on the ecological and evolutionary dynamics of populations. We
-
to mouse and non-human primates. You will be part of a dynamic, collaborative research team working alongside scientists and clinicians across the Snow Vision Accelerator, based in the state-of-the-art