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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
- $121,054 + 17% superannuation About the opportunity The School of Civil Engineering at The University of Sydney is recruiting for a Postdoctoral Research Associate in Global Environment Modelling of Soil
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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Full time, continuing opportunity for an experienced Recruitment Partner, hybrid working model Critical role in implementing our Indigenous Workforce plan Base Salary $146,197 plus 17% employer’s
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Full time, fixed term position until end of 2027, hybrid working model Work with Mob, for Mob Extensive benefits including a generous leave allowance and additional days for cultural leave Base
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, you will work closely with the Chief Investigator team on a project located within a Local Health District, contributing to the embedding of Indigenous models of care within the areas of chronic care
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experimental models ranging from human neurons 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
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ability to utilise data analytics and modelling software accordingly. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to apply
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responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence, advanced characterisation and measuring methods for high performance perovskite
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science techniques, including statistical modelling and machine learning, to extract insights from diverse and complex datasets demonstrates a strong ability to work independently and manage competing
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cancer therapies, including gene- and cell-based immunotherapies. You will work with state-of-the-art technologies such as single-cell multiomics, stem cell models, and nanotechnology, within a