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fusion plasmas in tokamaks. This position targets experts in control theory, data science, or machine learning who are seeking to apply their expertise to nuclear fusion, as well as researchers with
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of all application materials to Prof. Eugenio Schuster, Director of LU-PCG, via e-mail ([email protected] ). Applications will be reviewed on a rolling basis until the position is filled. About
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, or control theory Proficiency in MATLAB, Python, or equivalent scientific computing tools Strong writing, verbal, and interpersonal communication skills are required Proven ability to work independently and as
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contexts for broader questions about environmental transmission, system resilience, and the real-world performance of public health interventions. Position Number: S62610 Anticipated Salary: $70,000