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unable to process it. Thank you for your understanding.
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Intelligent Manufacturing Natural Language Processing and Multimodal Intelligence Robotics, Human-AI Interaction, and Embodied Intelligence Experience or interest in applying AI to interdisciplinary domains
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innovation and knowledge transfer. Disciplines： Electronic and Information Engineering Computer and Data Engineering Electronic and Electrical Engineering Information Engineering Microelectronics Engineering
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fund, on-campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/ . Application Procedure Applicants should
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Qualifications Master’s degree or above in Electrical Engineering, Electronic Engineering, Embedded Systems, Computer Engineering, Automation, or a closely related field. Strong background in embedded systems
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Learning. Must have published academic papers in related fields such as AI, Deep Learning, Machine Learning, Computer Vision, NLP, Large Language Models, or Multimodal Learning. Expected Onboarding Date
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submitted, including links to each of your publications. Should your application remain incomplete, we shall either defer consideration or be unable to process it. Thank you for your understanding. *In
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experience and qualifications and is subject to annual review and adjustment. Application Procedure Please submit the following materials: CV Brief statement of research interests Contact details for at least
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-2027. Potential areas of focus include but are not limited to software engineering, compiler, computer architecture, machine learning, artificial intelligence, human-machine interaction, and embedded
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Director in evaluating research performance and academic development through the Professional Development Review (PDR) process. ESSENTIAL QUALIFICATIONS A Ph.D. degree in a relevant subject from a world