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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling
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-related matters to both academic schools and University leadership, ensuring optimal value and safeguarding the University’s interests. This includes property valuation expertise for investment and
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process from adversarial attacks, ensuring user data privacy. Optimize the integration of heterogeneous data sources (e.g., vehicle telemetry, traffic cameras, sensors) within the Federated Learning
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