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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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soldering, calibration, functional testing, and sensor characterization. A dedicated cleanroom area supports the assembly and integration of flight hardware, ensuring high reliability and adherence to
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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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-Dream project will explore how AI “thinks” about weather by simplifying complex AI models and testing them under controlled conditions. By combining the speed of AI with the physical accuracy of
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, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en
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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
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: Aalto Triton cluster (versatile Tier-2 system for testing, porting, and benchmarking); national CSC supercomputers (e.g. Roihu, Tier-1 systems for medium-level production runs); EuroHPC LUMI (Tier-0