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Field
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
or a related discipline, with an emphasis in numerical computation intermediate to advanced skills in large data analysis and manipulation, including programming in different languages including Matlab
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) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong interpersonal skills and the ability to work collaboratively within a
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policy impact, hosting the largest collection of expertise on the Asia Pacific in the English-speaking world. For over 70 years, ANU Sinologists have pioneered new fields in China studies and led the world
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limited supervision and as part of a research team. demonstrated ability to contribute to publications, grant writing and other project outputs. excellent communication skills in English (both written and
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record of computer programming. Experience in numerical relativity and/or numerical simulation of quantum field-detector interaction Strong written and oral communication skills. Demonstrated ability
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publications and plans for future research Demonstrated ability to conduct research independently and contribute to the preparation of competitive grant applications. Excellent written and oral communication
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media; the development and application of numerical methods of image and signal analysis The ability to work well with people both in academia and Industry The ability to plan and manage own research
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Part-time (0.2 FTE), 3-month fixed-term opportunity Join us in supporting groundbreaking research and youth mentoring programs, where your lived experience and skills will make a meaningful impact
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of aggregated amyloid proteins from a range of different viruses. The Research Fellow’s role is primarily to plan, develop and engage in high quality research projects that are aligned with the University’s
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python