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practice of imaging, cardiac mapping and targeted radiation therapy Create, develop and experimentally and clinically implement mechanistic and AI based algorithms Support the acquisition and analysis
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and data handling approaches to support reliable interpretation and reporting of results. Establish and curate genomic reference resources to support forensic species identification outcomes
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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
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-culture, single-cell RNA sequencing, data analysis and in vivo models—to interrogate B cell responses in human samples and pre-clinical systems. This research aims to generate mechanistic insight
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body sensory pathways in collaboration with interstate partners. Coordinating Sydney-based research activities within the broader multi-institutional team, including data sharing and collaborative visits
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3 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Economics Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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data analysis and familiarity with HPLC/GC/LC‑MS Excellent communication skills and the ability to work both independently and collaboratively Experience with scale‑up/scale‑down approaches and an
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and aerosol characterisation, including: -Laser diffraction -Next Generation Impactor (NGI) -Liquid chromatography-based analyses Analyse and interpret experimental data to inform iterative formulation
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independently and as part of the research team, to undertake qualitative research, including data collection, analysis and writing up of results undertake qualitative research field work independently, with some
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analysis. The role will undertake both collaborative and self-directed research in the general areas supported by the grant, including labour supply modelling, optimal tax modelling within an overlapping