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or interest in AI/ML, data analytics, digital twins, or cyber-physical systems Good programming skills (e.g., Python, C++, or similar) Ability to work independently and as part of an international research team
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Computing (HPC) environments, using relevant coding languages (e.g. Bash, R, python, snakemake etc.); publishing research articles in peer-reviewed journals; experience in international research collaboration
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statistics of mean and extreme wind events over the Baltic Sea region. Tellus A, 67, 29073. https://doi.org/10.3402/tellusa.v67.29073 Björkqvist, J.-V., Lukas, I., Alari, V., van Vledder, P.G., Hulst, S
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inference (using Python, C++, TinyML) Integration of sensing, signal processing, and communication subsystems Implementation and testing of industrial IoT communication protocols Experimental validation in
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friction. Coastal Engineering, 53(2), 149–165. https://doi.org/10.1016/j.coastaleng.2005.10.005 Dean, R. G., & Walton, T. L. (2010). Wave setup. In Y. C. Kim (Ed.), Handbook of Coastal and Ocean Engineering
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changes to hydrometeorological forcing. Geomorphology, 414, 108383, https://doi.org/10.1016/j.geomorph.2022.108383 Eelsalu, M., Viigand, K., Soomere, T., Parnell, K., 2024a. Systematic analysis
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the following requirements: Master's degree in electrical engineering, mechatronics, or a related field, a clear interest in the topic of the position Strong programming skills in Python, with experience in
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/EnergyPlus, Ladybug Tools/Radiance). Proficiency in programming languages relevant for environmental modelling and workflow automation (e.g., Python, C#), or strong motivation and capacity to acquire