24 postdoc-in-automation-and-control positions at University of Adelaide in Australia
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Services The University’s controlled entities The Adelaide Graduate Research School. To be successful you will need: Demonstrate sound post admission experience handling complex commercial matters under
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characterization methodologies, such as Microscopy, and in-situ spectroscopy. Good teamwork that is suitable for a research group that includes a mixture of undergraduate students, graduate students, postdocs and
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Community Controlled Health Organisations in South Australia. Experience with comprehensive data registries and data analysis. Demonstrated high level organisation skills. Ability to work well both
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proteins, combined with methods such as microscale thermophoresis will also be used to characterise enzyme activity. The postdoc will also co-supervise PhD students and Honours students. Outputs will include
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to ensure that care for women and their infants is effective, and that treatment benefits outweigh harms. The Group has led internationally recognised, pivotal randomised controlled trials involving pregnant
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development skills Familiarity with the Git version control system Willingness to work with a fast-moving, research-oriented team Ability to document work clearly and communicate with collaborators The path
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, Food and Wine at the University of Adelaide. Project overview Decoding airborne volatiles in environmental smoke that taint wine. Bushfires, stubble burns, and controlled burns all pose major risks
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controlled growth chambers to remote field sites. With nine nodes located across six states and territories, and backed by major research institutions and a state government department, the APPN plays a vital
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skills in R and Python. Demonstrated experience with the handling and maintenance of crops in field-based and controlled environments, and genetic transformation of cereal crops. A strong track record of
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augmentations such as project energy connect, Humelink, Marinus Link ETC Lack of available accurate generator and reinforcement models Protection and emergency control scheme modelling challenges. The research