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Laboratory and field-based structural testing and data acquisition Direct and indirect sensing methods for bridges, including remote sensing techniques Machine learning and artificial intelligence for
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, functional testing, and sensor characterization. A dedicated cleanroom area supports the assembly and integration of flight hardware, ensuring high reliability and adherence to space standards
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of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . Desired
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group ( https://www.aalto.fi/en/department-of-chemistry-and-materials-science/electrochemical-materials-and-applications ), led by Prof. Daniel Martin-Yerga, is seeking a motivated Master’s thesis worker
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will have access to a unique combination of HPC resources: Aalto Triton cluster (versatile Tier-2 system for testing, porting, and benchmarking); national CSC supercomputers (e.g. Roihu, Tier-1 systems
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Experimental instrumentation and data acquisition: strain, displacement or pressure measurement, inclinometers, sensor installation, or data logging Laboratory rock mechanics testing to ISRM suggested methods