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intelligent decision architectures, predictive analytics, and adaptive computational models that can operate in dynamic, uncertain, and high-stakes project environments. The appointee will conduct original
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programs-ranging from national infrastructure to major technological rollouts. The project focuses on developing intelligent decision architectures, predictive analytics, and adaptive computational models
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into circularly economy are also of research interests within the group. Learnings in perovskite photovoltaic is have also been actively applied to other optoelectronics, photonic devices, dosimeters, storages and
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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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to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus. As an
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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 NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
inference and/or machine-learning approaches. You will be able to articulate and prosecute an innovative interdisciplinary research vision, contribute new modelling or analytical methods, and integrate
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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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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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. Based in the modern Bayliss Building precinct, the school provides access to world-class infrastructure including advanced microscopy, multi-omics platforms, analytical chemistry suites, and dedicated