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, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1) and effective
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expertise in at least one of the following: geochemistry, carbonate sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track
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sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1
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). Proficiency in numerical modelling, data analysis and instrument control in languages such as Matlab, Python, C/C++, etc. Familiarity with sensor technologies and applications, machine learning, and electronics
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at St Lucia in the Business School. Key responsibilities will include: Engineer, prototype, validate and deploy statistical, machine learning models and analytic solutions to solve challenging problems
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at the University of Sydney has an international reputation in the field of turbulent combustion, combustion modelling and advanced laser diagnostics. Specific research issues include the combustion of bio-fuels
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relevant area, with extensive relevant experience executing change programs in complex environments. Demonstrated experience in designing and applying change management models and expertise in a timely way
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a relevant area, with extensive relevant experience executing change programs in complex environments. Demonstrated experience in designing and applying change management models and expertise in a
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are recruiting three PhD students for the following Projects: Project 1: Unifying on-farm data and crop models to enhance tactical crop decisions Summary: Despite the increasing availability of on-farm data and