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the field of social sciences, including economics, market modelling and public policy analysis. For further information please contact Dr Jorrit Gosens, E: jorrit.gosens@anu.edu.au . ANU values diversity and
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Postdoctoral Research Fellow to join an exciting Australian Research Council Discovery Project, “Resolving the value of information paradox for ecological management.” This is a unique opportunity to develop
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 hour ago
mathematics and its applications. Further information about MSI is available on the MSI website . For further information about this role please contact Mat Langford, MSI Fellow, E:Mathew.Langford@anu.edu.au
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focus on the analysis and interpretation of transcriptomic data, including bulk, single-cell, and/or spatial RNA-seq to investigate gene regulation, cell fate, and developmental signalling. Fellows will
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professional bodies. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . For further information, please click here to view the information
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focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . For further information, please click here to view the information booklet. About UQ As part of the UQ
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exciting Australian Research Council Discovery Project, “Resolving the value of information paradox for ecological management.” This is a unique opportunity to develop your expertise and grow your emerging
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-disciplinary academic environment. They will foster respectful and collaborative relationships with colleagues, students, and partners across diverse cultural and professional contexts. For further information
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₂ storage. In this role, you will develop multiscale geomechanical and/or geodynamic tools and workflows to assess underground gas geo-storage at basin and field scales, with applications in both data-rich
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for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is desirable. Please