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and Responsibilities: We are seeking a highly self-motivated postdoctoral candidate with experience in cancer research and strong analytical skills in single-cell RNA-seq data. Statistical modeling
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of parenting interventions delivered in childhood on later youth violence and offending. The project involves secondary data analysis of two Randomised Controlled Trials of the Incredible Years parenting
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to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc
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of High throughput Calculations Fluency in relevant models, techniques or methods and ability to contribute to developing new ones High level analytical capability Ability to communicate complex information
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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protective barrier against absorption and understand the kinetics of penetration for chemicals of concern. This work is designed to provide experimental data for evidence-based decision making by first
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data analytics, pharmacy or medical practice, healthcare technology, health systems research or other potential research partners is an asset. Familiarity and experience with grant funded projects and
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service activities and build strong partnerships with industry, government, professional bodies, and the broader community. This is a research focused position. Further information can be found by viewing
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prototype integration to translate sensor outputs into clinically relevant protein biomarker data. The role will involve laboratory-based experimentation, data analysis, and active contribution to scholarly
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data using appropriate theoretical and methodological frameworks Apply knowledge in a way that develops new intellectual understanding Disseminate research findings through academic publications