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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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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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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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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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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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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
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experience with following: Experimental setup development Electron microscopy Probe microscopy Electromagnetism Nanostructure characterisation Tasks Further the understanding of biased surface diffusion by
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Infrastructure? No Offer Description Are you curious about the mysteries of animal development and eager to uncover how tissues and cells behave in real time? If so, this PhD opportunity could be the perfect fit