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Field
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industry. In this project, you will develop game-theoretic AI frameworks by integrating Data-driven intelligence with principled decision structure for multi-agent decision making in energy systems. In
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integration, low-voltage distribution-network modelling, optimisation-based power flow analysis, and standards development, producing impactful publications, open-source code, and datasets. Supervision and
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, with particular expertise in mammary, hematopoietic and mesenchymal systems. Our research integrates human primary tissues and clinical specimens with complementary in vitro and in vivo model systems. A
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, towards to OR research community. • Willingness to learn new knowledge on resource allocation and data-driven optimization, particularly in the latest development. • Communication skill, particularly
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lightweighting, hypersonic systems, and naval shipbuilding. The Fellow will contribute to ongoing research programs by developing experimental methodologies, computational models, and performing hands
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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computational design and experimental validation. What you will be doing You will: Develop, apply, and iteratively refine protein/genomic language models to design novel protein variants informed by evolutionary
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hepatocyte isolation and human liver tissue samples). Lead cause-effect experiments using mouse models within a team setting to define the in vivo impacts of mitochondria dynamics in liver biology. Collect
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professional development. Wu Tsai Postdoctoral Fellows design innovative projects that expand their expertise, supported by mentorship tailored to their interdisciplinary goals. Successful applicants have