6 evolution "https:" "https:" "https:" "Multiple" PhD positions at Tallinn University of Technology
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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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nearshore structures and contribute to sustainable coastal management. References Eelsalu, M., Parnell, K.E., Soomere, T., 2022. Sandy beach evolution in the low-energy microtidal Baltic Sea: attribution of
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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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industrial applications has accelerated the development of AI- and IoT-enabled condition monitoring systems. Previous research in this domain has successfully demonstrated the feasibility of IoT-based data
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adaptability of AI, enabling predictive maintenance and adaptive energy management across varying driving and environmental conditions. The outcomes are expected to contribute to the development of sustainable
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models for outdoor thermal comfort prediction and analysis. Collaborate in the programming and development of a scenario-based platform. Where to apply E-mail francesco.deluca@taltech.ee Requirements