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BookUNI Summary
PhD position focusing on developing numerical tools for health diagnostics and predictive maintenance of power modules using model reduction techniques and hybrid digital twins. Requires Master's in applied mathematics or computational mechanics.
Requirements
PhD position focusing on developing numerical tools for health diagnostics and predictive maintenance of power modules using model reduction techniques and hybrid digital twins. Requires Master's in applied mathematics or computational mechanics.
Application Information
Official Opportunity / Application Page PhDScanner https://www.phdscanner.com/api/opportunities/98c24c8f-74ca-4485-beea-11f42101f9c4/applyBookUNI provides a structured summary and route to the public source. Confirm eligibility, documents, deadline, funding and submission rules on the official page before applying.