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rapidly increasing demand for solar power generation capacity, it is essential to develop technologies that are more ecologically sustainable, more efficient, and versatile enough for a wide range of
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) is the only flagship in engineering and IT science and education in Estonia, providing higher education at all levels in engineering and technology, information technology, economics, science, and
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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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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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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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to develop new methods for determining power system operating conditions and limitations when generation mix and locations are changing. The results of the project will be validated in real power system using
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and Tenured Associate Professor Kristjan Tabri (TalTech) Abstract In this position, PhD candidate is expected to develop sea/ocean environment perception, navigation methods for future autonomous
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In this position, you develop an active motion control systems for (unmanned) surface vessels and structures. Aim of the control systems is to actively damp the angular motions of the vessel based
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: Tenured Full Professor Argo Rosin and Researcher Vahur Maask (TalTech) Abstract The overall goal of the project is to research and develop a new methodology for low voltage distribution grid planning
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Vitali Sõritski and Senior Lecturer Jekaterina Reut (TalTech) Abstract The overall objective of the PhD study is to develop sensing devices by implementing Molecularly Imprinted Polymers (MIPs) as robust