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quality-controlled, e.g., via a novel ‘agentic workflow’ where elements of information in the chatbot answer are examined by a network of independent software agents. Another possible topic is designing NEO
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lightweight AI models suitable for real-time execution on constrained platforms using techniques such as model compression, quantization, and hardware-aware neural network design. Investigating mechanisms
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model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound
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. Experience working with Finite Element Method (FEM) tools, such as Abaqus, ANSYS, OrcaFlex, or similar software, is highly regarded. Furthermore, an interest or practical experience in additive manufacturing
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Ariya Sangwongwanich from AAU Energy. The prospective Ph.D. student will be co-supervised by Associate Professor Hongbo Zhao (AAU Energy) and collaborate with other Ph.D. students and Postdocs in the host
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI
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M. Smedskjær. The prospective Ph.D. student will be co-supervised by Tenure Track Assistant Professor Søren S. Sørensen and collaborate with other Ph.D. students and Postdocs in the research group
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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of student projects and participation in courses related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the