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analyse data in the manufacturing process. The project is a partnership between Rux Energy and USYD and is a multi-disciplinary effort between scientists and engineers. We are looking for a Postdoctoral
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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
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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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milestones and deadlines good analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly experience in space solar cells qualification, acceptance
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, Professor Feike Dijkstra and Professor Stephen Cattle. The successful applicant will also work closely with CSIRO scientists; including project lead Dr Mark Farrell and Dr Uta Stockmann. For more information
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large-scale cross-cultural and longitudinal studies in collaboration with international research teams manage multi-site data collection, including ethical approvals and cross-country protocols conduct
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loading Flexible working Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Progressive HR practices More information on the great staff benefits
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and aerosol characterisation, including: -Laser diffraction -Next Generation Impactor (NGI) -Liquid chromatography-based analyses Analyse and interpret experimental data to inform iterative formulation
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likelihood estimators, as well as experience in estimating labour supply models and models of wage dynamics. Ability to work with large datasets, particularly panel and cross section data sets of the types
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point of contact Experience working with Global Burden of Disease (GBD) Study data with successful publications utilising this data Experience designing and creating self-help tools for people who suffer