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Fingrid. Research focus Monitoring and data analysis: Apply and develop methods to estimate torsional oscillation frequencies, damping and amplitudes from phasor measurement unit (PMU) data. Analyse
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researcher in the field of protein-nucleic acid hybrid materials We are seeking a doctoral researcher to join a Research Council of Finland-funded project ( https://research.fi/en/results/funding/88763
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also offers access to a wide suite of engineering and simulation software for electronics design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification
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model selection and pruning using observational constraints, extend best‑match runs over multiple stellar activity cycles, and prepare datasets for ML analysis. Contribute to coupling global and local
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fleet can act as one Virtual Power Plant. Read more about the project and other participants here: https://aegis-dn.eu/ Your role: You will be working on “End-to-End Energy Modeling for Distributed AI
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data-analysis methods to follow condensation across different length and time scales. Work closely with researchers at Aalto University and the Finnish Meteorological Institute, including colleagues
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the finite element code Numerical analysis of additional losses in the operating conditions of simulated variable-speed electric machines Validate the developed simulation models by experimental
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numerical/computational modelling methods (e.g. discrete element method or finite element analysis) Strong programming skills Good written and verbal communication skills in English Considered an
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Laboratory rock mechanics testing to ISRM suggested methods Reliability analysis, Monte Carlo, or importance sampling, and reliability-based design Materials engineering relevant to liners, cyclic loading