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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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through a Marie Skłodowska-Curie Doctoral Network, runs from 2026 to 2030, and trains 15 Doctoral Candidates (PhD students). The DN targets developing software-defined technologies that turn edge
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Marie Skłodowska-Curie Doctoral Network, runs from 2026 to 2030, and trains 15 Doctoral Candidates (PhD students). The DN targets developing software-defined technologies that turn edge data centers
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Researcher in Trustworthy Machine Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to
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Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to pursue a degree in
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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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a project focused on implementing advanced models of soft magnetic materials in accurate simulation software. The developed laminated‑steel models will be evaluated using an experimental setup
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Department of Electrical Engineering and Automation at Aalto University, Finland, within a project focused on implementing advanced models of soft magnetic materials in accurate simulation software. The
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criteria (you should have some of these) 1. Basic multivariate statistics (e.g. multiple regression, logistic regression) 2. Basic skills in statistical software (R, Python libraries, etc) 3. Basic