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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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qualifications in related fields (e.g., neuroscience) experience in quantitative methods relevant to immune science experience in clinical research with strong data analytic skills with an interest in training in
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significant centre for research in business, including Applied Finance, Actuarial Studies and Business Analytics, Accounting and Corporate Governance, Marketing, Management and Economics. We conduct world
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structures, geometric/higher representation theory) Category theory (especially monoidal/tensor categories; diagrammatic or categorified settings welcome) Combinatorial / analytic methods for algebraic
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to collaborate effectively, build strong working relationships and contribute to community and stakeholder engagement through research. Well-developed analytical, organisational and ethical practice skills
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will have: A PhD (or equivalent experience) in medicinal or synthetic chemistry Strong hands‑on laboratory experience in synthetic organic or medicinal chemistry Excellent analytical, organisational, and
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Australian agriculture: Analytics for the Australian Grains Industry (AAGI) and the Australian Plant Phenomics Network (APPN). Hosted by UQ’s School of Agriculture and Food Sustainability in collaboration with
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and ensure reproducibility through well-documented analytical code and workflows. Contribute to peer-reviewed publications, policy reports and dissemination activities that enhance national impact and
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projects. Candidates will need strong analytical skills and experience in manuscript preparation. Well-developed research skills, including data collection, management and analysis, along with the ability
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establish a distinctive research profile, with a particular focus on Green Energy Investment and Trade in Asia. The role will suit a candidate with strong data analytical capabilities, demonstrated knowledge