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communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is desirable Knowledge and interest in wine is desirable Applying: Expression of
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
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their best work. THIS ROLE IS LOCATED IN SYDNEY, AUSTRALIA. The Coastal and Regional Oceanography group at UNSW is a dynamic team of researchers, including academics, postdocs, data scientists, technical staff
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and statistics, with expertise spanning time series analysis, Bayesian inference, financial econometrics, and data analytics. As home to one of the strongest forecasting research groups worldwide, we
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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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that are taught in five teaching laboratories specialising in First Year, Synthetic, Analytical and Physical Chemistry. This role contributes to the development of novel catalysts and electrolytes
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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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Australia. Led by the University of Queensland, the University of Adelaide is leading the Biomass Characterisation project theme. This role will develop and run analytical pipelines to deliver detailed plant
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-MAP) to engage in research to further your expertise and growing research profile in Proteomics, Metabolomics and analytical chemistry. You will work with a diverse team of internal and external