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interdisciplinary research efforts process and analyse functional neuroimaging data (fMRI, EEG, etc.) to extract meaningful insights into brain function. About you a PhD in Neuroscience, Computational Neuroscience
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looking for a Postdoctoral Research Associate who has: a PhD in a quantitative field (e.g., physics, mathematics, computer science) interest and experience in simulating and analyzing multivariate time
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28 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Australia
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) Country Australia Application Deadline 6 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
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Full time fixed term position until August 2027, located on the Camperdown Campus at the School of Physics Opportunity to make valuable contributions to research in single junction and tandem solar
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Apply now Job no:529867 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate Postdoctoral Researcher (Computational Immunology and Translational AI) Employment Type
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imaging technologies. Our research portfolio spans development of new treatment ideas, clinical trials, preclinical imaging, device development, MRI-Physics, radiation therapy physics, and computational
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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
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in cyber-physical systems and AI-driven sensing and control for large-scale systems, the successful candidate will contribute to the development of adaptive decision-making architectures for large
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ambitious research program to investigate the intersection of plate tectonics, critical metals, and Earth's habitability by trying to better model the Earth’s surface evolution from 1800–500 million years ago