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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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will hold demonstrated experience in epidemiological methodologies and data analytics. Your skills will include critical appraisal of epidemiological evidence, and statistical analysis to evaluate large
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as one PDF) 2. 2027 MQLF CV and Research Opportunity and Performance Evidence Form 3. Evidence of PhD conferral (if awarded) or submission date For general information about the Fellowship opportunity
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qualitative data capture and analysis Ability to work independently and manage tasks with minimal supervision Strong organisational and analytical skills Excellent communication and collaboration skills
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
leading role in interdisciplinary research that links numerical modelling, geological and geophysical data, and mineral systems science. The Person The successful applicant will hold a PhD in Earth Sciences
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structural biology, molecular genetics, ’omics technologies, synthetic and bioactive chemistry, materials and nanotechnology, supported by a strong, externally funded research portfolio and a vibrant PhD
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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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structural biology, molecular genetics, ’omics technologies, synthetic and bioactive chemistry, materials and nanotechnology, supported by a strong, externally funded research portfolio and a vibrant PhD
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manage research datasets, including development of analytic workflows, REDCap data collection tools, algorithm development, and validation of NLP pipelines · lead the development of scholarly outputs