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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to end of September 2029 Base salary
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Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows Job No.: 690226 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration
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Deadline 13 Nov 2026 - 14:00 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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networks. Data Collection: Conduct in vivo neurophysiological recordings and behavioral assays in mice and tree shrews. Data Analysis: Process large-scale neural datasets, applying computational tools
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the applicant’s PhD (incremental transitions will not be considered). Open-ended computational/theoretical projects: Collaborate flexibly with multiple research groups to investigate human cognition through
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criteria A PhD or equivalent in data science, social network analysis, mathematical modelling, statistics, or related discipline Demonstrated publication track record in data science, social network analysis
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Direct integration with the French national CARARE network for rare kidney cancers Strong collaborations with clinicians, structural biologists, proteomics specialists and computational biologists
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Have you completed your PhD? Are you eager to enrich knowledge
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projects such that the successful candidate will have excellent opportunities to participate in international research networks. We also run an advanced drone lab on behalf of the entire faculty
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22 Aug 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3