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, biofouling, human factor) in full-scale ship speed-power measurements and analysis by testing various in-situ applications such Energy Saving Devices. The collected data could be used to build a digital twin
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innovation, and coordinate diverse coalitions of actors, including technology providers, civil society organizations, and residents. In this context, “governance mechanisms” encompass a wide range of elements
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diagnostic platform—bridging the gap between proof-of-concept and industrial deployment. The hardware component of the research will involve the development of a custom PCB, integrating sensing modules (e.g
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modeling methods to bridge component-level (micro) and system-level (macro) energy management strategies. Empirical validation of the proposed models Validate developed battery management models using
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are: technological developments and human factor connections (incl. Remote Piloting, Artificial Intelligence, Human-Machine Interaction, and Crew Activities) shiphandling and operational risk analysis (incl. decision
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dimensions of maritime navigation in an era shaped by automation, digitalization, and artificial intelligence. Their work emphasizes the human element in maritime operations, focusing on simulation-based
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bioinformatic analysis workflow. Extraction of DNA from sediment samples collected within the project, and metagenomic bioinformatic analysis. Preparation of results for scientific publications within the CoE
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collected by moored probes, underwater gliders and micro-AUVs and shipborne sampling. Furthermore, parameters describing atmospheric variability and riverine inputs will be included in the analysis to better
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(Transmission electron microscopy)). Understanding of various methods of metal nanostructure synthesis and previous experience working with probe microscopy gives advantage. During the PhD project, expect to gain
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analysis is often conducted without a proper assessment of its effects on thermal comfort, or appropriate OTC metrics are applied only to evaluate thermal sensation under near-stationary conditions