10 estimation-methods Postdoctoral research jobs at University of Sydney in Australia
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at the University of Sydney is currently seeking a Postdoctoral Research Associate (Physics) to work within the Dynamics and Neural Systems Group, led by A/Prof Ben Fulcher, on developing novel methods to analyze non
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research methods and ability to lead research involving interviews and focus groups experience conducting original research and/or engaging in scholarly activity excellent written and verbal communication
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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and quantitative research methods familiarity with megaproject delivery models or complex infrastructure systems. Work Rights Visa sponsorship is available for this appointment. Pre-employment checks
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and Ar-Ar geochronology, fission-track and (U-Th-Sm)/He thermochronology, vitrinite reflectance, and thermal history models. New relational data models data for incorporating methods such as include
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collected data from sampling larval, juvenile and adult fish using a variety of methods (seining, BRUVs) and acoustic tracking to measure fish movement and connectivity. Expected outcomes of this project
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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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will be based at South Eveleigh (formerly the Australian Technology Park). Your key responsibilities will be to: undertake original research in developing methods of lung function imaging undertake
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Computer Engineering at the University of Sydney is seeking to appoint a Research Associate or Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of accelerating
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools