49 postdoc-in-thermal-network-of-the-physical-building Postdoctoral positions in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
focused on understanding and countering harmful narratives and, mis/disinformation, and applying social network analysis. To be successful you will need: PhD in a relevant discipline such as computer
-
stakeholders. This will be one of a potential six postdoc hires in the research group for 2025. At ANSTO, you will have the opportunity to work closely with both the Nuclear Materials Research and Technology
-
Full time, fixed term position for 3 years Collaborate with leading academics and researchers and build your academic networks Base Salary $109,263 - $121,054 + 17% superannuation About the
-
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
-
Part time (4 day per week 0.8 FTE), fixed term until April 2027, located on the Camperdown Campus at the School of Psychology Exciting opportunity in the first Clinical Trials Network dedicated
-
team, collaborate across disciplines, and build effective relationships. Ability to maintain a sound governance framework for research activities. Ensure appropriate ethics approval, reporting, and
-
relevant areas to understand both the palaeo-environmental evolution as well as to unravel the redox structure of the water column and investigate geochemical weathering proxies to help build a picture of
-
geochemical weathering proxies to help build a picture of how past plate tectonics controlled the earth surface systems. The successful candidate will be working on aspects of an Australian Research Council
-
focused on the challenge of accelerating ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track
-
ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research