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to mouse and non-human primates. You will be part of a dynamic, collaborative research team working alongside scientists and clinicians across the Snow Vision Accelerator, based in the state-of-the-art
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applicant will be involved primarily in research within this dynamic department. They will be a key member of the Australian Critical Minerals Research Centre and the ARC Training Centre in Critical Resources
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. Demonstrated experience in performing simulations at the atomic-scale, such as density functional theory (e.g. VASP, Ab-init, Quantum espresso), molecular dynamics (e.g. LAMMPS, DL-POLY), development of inter
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
for global assessments. Research outputs are expected to improve the capacity to predict soil organic and inorganic matter dynamics across ecosystems and answer key question about abatement of GHG emissions
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ability to interact with internal and external stakeholders. You will be a good communicator, passionate about your research, and enjoy working in a dynamic team. To apply, candidates should submit a CV and
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resilience of communities. Conducting qualitative research using structured /unstructured interviews, focused groups, observations, and content analysis in disaster scenarios. Conducting quantitative research
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, vulnerability and resilience of communities. Conducting qualitative research using structured /unstructured interviews, focused groups, observations, and content analysis in disaster scenarios. Conducting
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that match the tenure of this role About Us: The Population Biology and genomics Group The Population Biology and Genomics Group is focussed on the ecological and evolutionary dynamics of populations. We
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include: i) resolution of the dynamics and evolution of the primary and secondary atomization zones with a view to optimize and control spray formation processes. The e-fuel blends will include miscible and
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-technical audiences and engage in stakeholder or end-user consultation. DESIRED CHARACTERISTICS: Demonstrated experience in models of opinion dynamics, Bayesian reasoning models, natural language processing