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to identify mechanisms and potential treatments of chronic pain using immunology-based technical approaches that include high-parameter cytometry, high-plex imaging and data analysis supervise PhD and Honours
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tasks such as serological analysis, DNA extraction, and PCR-based diagnostics, while also supporting data management, statistical analysis, and dissemination of findings. At Level A, the position focuses
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Associate to undertake fundamental and applied research into novel deep learning approaches to analysing LiDAR and vision data in forest imaging and remote sensing. The role is part of a three-year project
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18 Sep 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Australia
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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
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the right to close this advertisement before the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Xiaoguang Duan
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-antigens. The successful candidate will employ a broad suite of immunological and molecular tools—such as flow cytometry, cell-culture, single-cell RNA sequencing, data analysis and in vivo models
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University). Neuroimaging Data Analysis: Process and analyse structural and functional neuroimaging data to extract meaningful insights into brain function. Apply state-of-the-art software tools and
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integration process for packaging integrated photonics devices Software Development: Create sophisticated software solutions for instrument control, data management, and analytics Research and Collaboration
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an application for this role please provide the following information: 1. A cover letter which includes a written response to the selection criteria (About you section) addressing your ability to meet the