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strengthen VinUniversity’s position as a world-class university. All candidates undergo a rigorous selection process evaluated by an international panel of distinguished scholars. Who We Are Looking For We
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. Additionally, they will support the use of Natural Language Processing (NLP) and large language models (LLMs) for policy document analysis and ESG disclosure detection. Their contributions will also include
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, Control Engineering, Mechatronics, Robotics, Computer Engineering, Electronics Engineering, Embedded Systems Teaching: Demonstrated teaching ability and commitment to student-centered, active and authentic
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the Bachelor's program in Sustainable Process Engineering (SPE). The expected workload for the in-class lecture conduction is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour
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recognition, machine learning (including generative models and neural network architectures), and natural language processing (including large language models). The ability to apply and generate externally
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, Future Trends in Traffic Engineering for Smart Mobility. Road Network Engineering - Planning, Design and Operation: Introduction to Road Networks, Introduction to the interaction of land use and transport
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Engineering, Power Electronics, Control Engineering, Mechatronics, Robotics, Computer Engineering, Electronics Engineering, Embedded Systems Teaching: Demonstrated teaching ability and commitment to student
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Industries) The successful applicant will be adept at educating students in various visual communication and design processes. Candidates should have a proven track record of effectively supporting and
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for Design & Fashion (Hanoi) began its operation in 2004 in Vietnam and our design training has a long established national reputation. Our mission is to help individuals achieve success in a variety of
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an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach undergraduate courses in Electrical & Computer Engineering