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other UT research entities. Lecturing and conducting seminars in Human Anatomy at all levels of higher education in Estonian and English. Organizing teaching work and ensuring their successful execution
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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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and cognitive function, with applications in medical fields. The project aims to develop AI-powered digital twins capable of generating synthetic data mimicking human drawing behavior under varying
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higher education. Experience of doing reasearch. Experience of working in the field of IT. Language skills C1 English, knowledge of Russian, readiness to study Estonian. According to the Language Act
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required. The ability to speak Estonian is not required at the time of application, but according to the Language Act, academic staff with foreign citizenship working in Estonia must have acquired at least
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fulfilled within the framework of the professorships in the areas of public interest of Estonia at Tallinn University of Technology, established in accordance with the Tallinn University of Technology Act (§9
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skills Very good command of English. According to the Language Act, academic staff with foreign citizenship working in Estonia must have acquired at least B1-level Estonian language skills after five years