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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 13 days ago
and machine learning, galaxy formation and simulations, integral field unit observations. Applications are encouraged from researchers who wish to undertake novel and collaborative research as part of
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. Learn more about Monash . The Opportunity As a Research Fellow, you'll be at the forefront of optimizing access to guideline-recommended treatments for individuals with chronic lung disease. Your
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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
spectroscopy and stellar abundances, stellar structure and stellar evolution, chemical evolution modelling, large survey data, statistics and machine learning, galaxy formation and simulations, integral field
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of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose of providing actionable information. Analysis
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. This position will involve the development of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose
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. Learn more about Monash . The Opportunity The School of Electrical and Computer Systems Engineering located within the Faculty of Engineering has an exciting opportunity for a Postdoctoral Research Fellow
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to learn various IT software, such as research-related computer programs (REDCap, Excel, SPSS and Endnote). Demonstrated ability to maintain and organise complex filing systems. Demonstrated ability to work
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to provide accurate and appropriate outcomes. Highly proficient computer literacy with excellent skills in Microsoft Office applications. Ability to make sound judgements and work both independently and as
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program evaluation Data science methods such as machine learning for structured or unstructured data Qualitative case studies This is a research focused position. Further information can be found by viewing
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engineering experimentation. 4. Evidence of competence in Computer Aided Draughting (CAD) 5. Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and