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-water settings. The research will develop a unified framework that fuses heterogeneous sensing modalities through uncertainty-aware probabilistic optimization while maintaining semantic, structural, and
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used to forecast motion. Duties of the position During the PhD project the candidate will connect analysis and processing of sensor data from ships with models describing the local environmental state as
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experimental data from hydrodynamic labs for validation purposes. Apply the AI models to develop an AI-based decision support framework for operability assessment for ships in planned voyages under forecasted
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data from hydrodynamic labs for validation purposes. Apply the AI models to develop an AI-based decision support framework for operability assessment for ships in planned voyages under forecasted
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forecasting particularly critical. Improved interoperability will allow operators to anticipate fluctuations better and coordinate responses across the energy system. Electricity's scarcity and regulation
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transition. First, interoperability is key in the energy transition, requiring further integration of existing control and optimization systems. This transition makes energy forecasting particularly critical