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25 Dec 2025 Job Information Organisation/Company University of Tartu Department Institute of Molecular and Cell Biology Research Field Biological sciences » Biology Biological sciences » Biological
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heterogeneous vehicular environments. A key focus will be integrating multi-domain battery modeling—encompassing electrochemical, thermal, and behavioral aspects—into the SDV architecture, enabling seamless
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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better
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the Baltic Sea over two climatic normals 1961–1990 and 1991–2020 using wave model SWAN forced with ERA5 wind data. The research The Baltic Sea wave climate is generally mild but exceedingly intermittent. Long
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threats affecting critical maritime operations in seaports and onboard vessels Designing and developing a prototype AI-based Maritime Security Operations Centre (SOC) Building a Digital Twin model of a
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comfort throughout the year in a Nordic climate? Is it possible to predict dynamic outdoor thermal comfort with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead
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for electrical machines based on custom-designed embedded hardware and edge-deployable AI models. Building upon prior work that established basic IoT connectivity and AI-based fault detection methods
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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence
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conducting simulator-based experiments, collecting and analyzing human performance and psychophysiological data, and developing models of human–machine collaboration for safe and efficient navigation
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-level data, aerial imagery, and field measurements Sediment transport modeling; improvement of the sediment-transport model using field data Participation in regular fieldwork at chosen test sites