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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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ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods to applied nonlinear problems arising from water
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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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profiling, regulatory genomics analysis, or high-throughput screening. Hands-on experience with experimental workflows such as single-cell or single-nucleus sequencing (snRNA-seq, snATAC-seq), protoplast
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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
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contributing to grant submissions in mental health or substance use; proven experience in statistical analysis and reporting of research data (quantitative and qualitative), including clinical trial data using
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or adaptive systems reinforcement learning, multi-agent systems, network or graph-based models simulation of complex socio-technical or organisational systems causal inference, econometric analysis, or formal