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the technical implementation, the candidate will contribute to the development of regulatory frameworks, business models, and social analyses that enable broader adoption of community PV. This interdisciplinary
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closely with our theory collaborators to model and explain the observed results.
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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plasma models (such as magnetized Vlasov–Poisson and Vlasov–Maxwell systems). - The position includes teaching responsibilities, such as organising a course and assisting with exam grading
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