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cause analysis and drive corrective actions in collaboration with quality and process engineering teams. Support failure analysis and reliability testing as needed. Documentation & Reporting
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behaviour. A key aspect of the work is developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO
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multidisciplinary and international teams. You have a strong sense of ownership, analytical thinking, and attention to detail. Experience with scientific data analysis, process characterization
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Lumerical or COMSOL. Scientific programming capability in Python or an equivalent environment, including automation, optimisation, parameter sweeps or data analysis. Ability to collaborate effectively