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to perform in-depth and critical data analyses and, where relevant, data modelling. Ideal candidates will possess: Completion or near completion of a PhD in environmental chemistry, analytical chemistry
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leading clinicians and researchers tackling real‑world challenges in critical care, data innovation, AI and advanced analytics. We are seeking a talented Data Scientist / Clinical Data Engineer
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Generative AI model which will predict the fertility stages of species based on analytical information from blood (or body fluid) samples. The successful candidate will work closely with the project Chief
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such as Applied Statistics, Mathematics, Geography, Plant Pathology, Agronomy and/or Data Science. We will also consider candidates who are making progress towards PhD completion. A demonstrated track
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Economics, Data Science. We will also consider candidates who are making progress towards PhD completion. A demonstrated track record in statistical analysis, especially meta-analysis and economic impact
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. You will develop sensitive methods with excellent quality control, be able to interpret high-resolution mass spectrometry data, conduct MS/MS experiments, and quantify or semi-quantify analytes in
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the instructions for applicants on the ACSPRI Fellowship Program website. About the scholarship PhD candidates at ACSPRI Member Institutions are invited to apply for the 2024-25 ACSPRI Fellowship Program. Valued
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the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: (Please review the Position Description for a full list of Skills and Experience) A PhD in a related discipline, and/or
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Explore how flexible data centre loads shape electricity grid performance. Build
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Platform The Data Science Collaborative Research Platform provides essential expertise in bioinformatics, statistics, analytics, digital health, and applied AI. We empower Higher Degree by Research (HDR