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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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funded 3.5 year PhD projects that will develop an innovative approach for enabling the discovery of natural hydrogen accumulations in continental interiors. Using the unique natural laboratory
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strategies influence profitability (e.g. gross margin) and sustainability (e.g. GHG emissions). You will lead the analysis and interpretation of data arising from the network of trials that will provide
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/sequence, time of sowing and nitrogen management strategies influence profitability (e.g. gross margin) and sustainability (e.g. GHG emissions). You will contribute to the analysis and interpretation of data
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fusion. Publication record commensurate with experience and opportunity. Have or be about to complete a PhD (or equivalent qualification) or have equivalent industrial experience in computer science, data
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& Medical Sciences and School of Biological Sciences. To be successful you will need: A PhD in Optics/ Photonics/ Physics and/or Microscopy, with a strong focus on light-sheet and multiphoton microscopy
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successful you will need: A PhD in geology, geochemistry or a related field. An established track record of publication in isotope geochemistry and/or critical mineral ore systems. Demonstrated expertise in
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expertise and relevant knowledge in the above mentioned research fields To be successful you will need: PhD in Chemical Engineering or an equivalent combination of relevant experience and/or education
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an impactful career in quantum technology within a world-leading research institution. To be successful at Level A you will need: A PhD in Quantum Physics, good knowledge in the Physics of Quantum devices
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or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working