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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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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
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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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Overview: RMIT University, in collaboration with ACCIONA, is looking for a Postdoctoral Fellow to join the AuSpire Program. This position will focus on Geopolymer Optimised for Acid Exposure
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this role, you will work closely with a collaborative team of five Chief Investigators and two Partner Investigators across anthropology, philosophy, history, computing, and information science. You will
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research in digital sociology, ethnographic methods, and human-AI relationships. Your responsibilities will include: Conduct research, analysis, and publication targeting diverse audiences, including
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cerebral palsy or related conditions. This role requires expert paediatric knowledge and clinical expertise, particularly in assessment methods for children at risk of cerebral palsy. The successful
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in applying these methods to renewable energy (wind or photovoltaic) applications is highly desirable. This position will provide you with the opportunity to develop your scholarly research and
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for the manufacture of computer chips. The project is supported by the Australian Research Council Linkage Project “Innovative Double Patterning Strategies for Integrated Circuit Manufacture” and is within