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science or mechanical/chemical/computer engineering or related area digital twin and systems engineering, with the ability to model, simulate, and optimise complex manufacturing processes industrial
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demonstrated ability to work autonomously, evaluate the literature, design and direct experiments to completion excellent attention to detail and demonstrated ability to maintain accurate and reliable scientific
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agricultural science with a quantitative focus (or an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and
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demonstrated experience in collaborative processes with demonstrated ability to work independently and as part of a team demonstrated capacity to deliver high-quality project outcomes in a timely manner
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conducting original research and/or engaging in scholarly activity, and demonstrated ability to prioritise and manage multiple tasks in a busy environment ability to effectively communicate. Sponsorship / work
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to assess the impact of colonisation. About you PhD in Economics (awarded prior to commencement) interest in working in economic history experience working with large datasets ability to conduct independent