Sort by
Refine Your Search
-
global climate action through modelling and data-driven Antarctic research 3 year fixed-term full-time role based in Hobart with relocation assistance considered About the opportunity We are looking for a
-
sheet modelling demonstrated through a record of publications in scientific journals. Excellent programming skills (e.g. Python, MATLAB, Fortran) and ideally also experience in High-Performance Computing
-
opportunity The School of Chemical & Biomolecular Engineering is currently seeking a Postdoctoral Research Associate to join an innovative research program focused on durable low-carbon concretes, corrosion
-
an integrated model of care for early management of individuals with moderate-to-severe traumatic brain injury (msTBI) who have pre-existing mental health difficulties. Reporting to Associate Professor, Grahame
-
dynamic and translational research program focused on identifying novel biomarkers and therapeutic targets in lung cancer. The position offers the opportunity to apply and develop expertise in molecular
-
, neurobiological or computational modelling frameworks. Your key responsibilities will involve: Original Research: Conduct original research in the areas of functional and structural neuroimaging, with a focus on
-
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
-
Application Deadline 19 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
30 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Researcher Profile Leading Researcher (R4) Country Australia Application Deadline 14 Sep 2025
-
density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design