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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
/lanfear-lab-mutation-molecular-evolution-and-phylogenetics The Person You will need to have a detailed understanding of cutting-edge methods and algorithms in maximum-likelihood phylogenetic inference, as
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key responsibilities will include several of the following: demonstrate research excellence in representation theory, algebra, combinatorics or related fields develop and document algorithms to assist
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, group theory, and/or graph theory will be necessary. Experience in modelling biological processes, and in algorithm development or computation will also be valuable. Proven commitment to proactively
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/condensed matter physics Development of quantum algorithms Application of computational chemistry in applications related to decarbonisation Understanding technological and computational challenges associated
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
counter-example guided planning algorithms for mission and epistemic objectives. Integrate multi-modal agentic AI systems into an orchestration framework. Deliver software artefacts and demonstrators
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
and interpreting complex molecular biology, biochemical and physiological assays to measure biological processes. Experience in animal handling and genetic engineering approaches are not essential but
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have a passion for research, and a proven interest in mechanistic disease modelling, advanced human tissue models, and translational platform development for genetic skin disorders. Work with us to
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% Superannuation (Academic Level C) Based at our St Lucia Campus About This Opportunity We are looking for a Senior Research Fellow to lead and contribute to high-impact programs in crop genomics and genetic
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plants. As the successful candidate you will have experience in cloning, plant genetic transformation, analysis of DNA, RNA and protein samples, protein structure analysis, and using a variety of
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and multidisciplinary team working to uncover the genetic foundations of yield potential in sorghum. Our research group offers a positive working environment and strong opportunities for cross