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you need to develop a digital twin of a ship operating in ice infested waters. You will use existing numerical model, which you will improve and validate using experimental ice-structure interaction
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. The proposed PhD thesis topic: "Development of an AI-Powered Digital Twin for Dynamic Analysis of Drawing Tests: Exploring Fatigue and Educational Influences" Supervisors: Tenured Associate Professor
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to develop specialized deep learning architectures for analyzing drawing tests and human finger motions, with applications in diagnostics, cognitive assessment, and fatigue detection. The Ph.D. candidate will
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conversion efficiency of well over 99% in applications where the gain of a DC-DC converter is close to one. This emerging technology is perfectly suited to develop the next generation of DC microgrids with
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University of Technology that focuses to lead the high-level, internationally recognized teaching, research and development in Estonia in the field of materials and environmental technology. For further
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should fulfill the following requirements: master's degree in power electronics; B2 English level certificate if English is not the native language and the language of instruction in MSc study was not
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fulfill the following requirements: master's degree in smart grids or related areas with cyber-components; B2 English level certificate if English is not the native language and the language of instruction
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in synthetic organic chemistry, especially in relation to asymmetric organocatalysis and borane catalysis, along with pertinent analytical (NMR, HPLC) skills. In addition, the candidate will develop
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, analysis, and mapping for data collected in extreme environments. The main aim of this project is to develop state-of-the-art data analysis and mapping methods that are efficient, reliable, and near real