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, energy systems optimisation, techno-economic forecasting, or agent-based modelling proficiency in scientific programming (preferably Julia, Python, or MATLAB) competence in data analysis and probabilistic
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, industrial decarbonisation, energy economics, or a related discipline demonstrated expertise in energy systems modelling, energy systems optimisation, techno-economic forecasting, or agent-based modelling
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engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
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orally and in writing. Experience in at least one of the following topics: mathematical biology, mathematical modelling, agent-based modelling, Bayesian inference, optimisation Demonstrated ability to use