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multi-agent decision making in contested and dynamic environments, involving extensively applied work built on a strong mathematical foundation at the intersection of data science, data fusion, decision
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between project workstreams—agronomy, modelling and economics. The successful candidate will undertake both desktop and field activities. Key activities include: Data management, processing, analysis and
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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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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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campus. To be successful, you will need: A PhD or equivalent experience in agricultural science, agricultural engineering, or a related discipline Experience conducting field experiments, including soil