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reduction reaction, N2 reduction reaction, and C-N coupling. Experience in applying machine learning methods to support materials computations. Demonstrated ability to collaborate effectively with researchers
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clinical and public health decision makers, and collaborate with them to co-design research, implement and evaluate interventions, and explore the application of innovative methods and new technologies
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Australian National University | Canberra, Australian Capital Territory | Australia | about 3 hours ago
-elliptic diffusion processes which are induced by geometric flows, with the aim of producing new and robust methods of establishing convergence results for many flow processes. The level of this appointment
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effectively. Assists in developing research protocols, analytical methods, and prototyping complex research facilities. Performs routine maintenance and adjustment of geotechnical and environmental instruments
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-atomic potentials using a combination of classical and machine-learning (ML) approaches (and a new hybrid method recently developed in our group). Some of the types of simulations that will be performed
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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people who discover them The Opportunity An exciting opportunity exists for a Research Assistant to join the Methods in Evidence Synthesis Unit at Monash’s School of Public Health and Preventive Medicine
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– fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family UQ Study for Staff On campus childcare
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methods along with previous experience working with transport, health, or law enforcement datasets would be advantageous. Please note, applicants must maintain unrestricted work rights in Australia for the
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geographically dispersed teams and stakeholders. Research Expertise in both qualitative and quantitative methods, including data management and analysis. Strong Organisational Skills with the ability to work