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Our goal is to provide the scientific models that sit at the heart of our core product offering. This means building data pipelines to generate accurate representations of real-world environments as well as algorithms for simulating their dynamics.

We take agent-based modelling to the next level in terms of extensibility, fidelity & scientific validity & we model social systems as goal-oriented actors operating on imperfect information. We 'digitally twin' physical environments & infrastructure & obsess about modularity in order to recast complex systems as combinations of simpler components. Our applied scientists seek to balance innovation with pragmatism, all while maintaining an awareness of the state-of-the-art.

We are building the methods & technology to realise a step change in decision support, planning & collective training, through the use of agent-based modelling, digital twins & optimisation.

Please note due to the nature of this role you will be expected to meet requirements associated with obtaining UK security vetting clearance
 
 
 
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