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Associate (Level A) to join a new research initiative focused on next generation digital twin capability for complex urban and infrastructure and urban systems. Working under the supervision of Professor
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digital twin capability for complex urban and infrastructure and urban systems. Working under the supervision of Professor David Levinson , the successful candidate will contribute to the development
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-autonomous systems, and their applications to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength
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, including experience analysing complex biological datasets the ability and willingness to work collaboratively within multidisciplinary research teamsexcellent written and verbal communication skills a strong