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of Tallinn University of Technology. The employment contract will be concluded for two-years, starting from November 2024. Contact person: Anna Volkova, PhD, tenured associate professor, E-mail: anna.volkova
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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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of Novel Deep Learning Architectures for Fine Motor Test Analysis" Supervisor: Tenured Associate Professor Sven Nõmm Abstract This research initiative focuses on digitizing and analyzing fine motor tests
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improving patient outcomes. This doctoral research investigate the utilisation of EVs sourced from natural origins, coupled with the integration of advanced microbiological techniques. Employing both 2D and
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professional work experience in the field of utilization of bioresources for food and extraction technologies publishing research results in international peer-reviewed scientific journals at the level required
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activity tracks: Teaching students and training professionals and executives; Research with a focus on practice-oriented and actionable research; Project work with private, public and civil society partners
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experience at least at the first two levels of higher education, including effective supervision of master’s and doctoral students. Experience in developing educational tools and materials for university use
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: Researcher Laura Piho and Tenured Full Professor Maarja Kruusmaa (TalTech) Project Overview We invite applicants for a fully funded PhD position to contribute to cutting-edge research in data validation