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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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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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-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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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
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Scientia Professor, the Post-Doctoral Fellow will undertake advanced data management and statistical analysis of large, complex linked datasets, contribute to rigorous study design, and ensure high standards
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shielding, radiation damage, particle transport. Computational skills allowing to compose or modify comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and