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Field
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you Applicants should have a good honors PhD degree in wireless communications or AI and computer vision fields and a strong
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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:00 (UTC) Country United Kingdom Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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. The successful candidate will take forward their own programme of transformative research in the engineering and applications of novel biomedical sensing technologies that are underpinned by state-of-the art
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wide range of topics, including computation biology/bioinformatics, glial biology, neurodevelopment and neurodegeneration. Current lab research projects include, but not limited to, these related areas
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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will have the opportunity to develop and implement independent research projects during the fellowship period. Qualifications: Doctoral degree in public health, personal health informatics, psychology