9 bayesian-object-detection uni jobs at King Abdullah University of Science and Technology in Saudi Arabia
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○ Object Detection: YOLO family (v5, v7, v8, v11), Faster R-CNN, RetinaNet ○ Image Processing: Classical and deep learning-based approaches ○ Version Control: Git ○ ML Operations
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stakeholders, the role ensures high-quality curriculum design, alignment with emerging technologies, and impactful program outcomes that contribute to national talent development and lifelong learning objectives.
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divisions. Furthermore, we expect research proposals to align closely with the UN Sustainable Development Goals and to contribute significantly to the objectives outlined in Saudi Vision 2030. This alignment
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-7 cleanrooms and related laboratory safety systems, including hazardous gas detection, emergency response protocols, exhaust systems (toxic, corrosive, and heat), general abatement and spill control
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on objectives and timelines. Possibility of some remote working depending on project requirements. Additional Information: Multiple opportunities to learn and use various equipment and techniques. Availability
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. This technology has enabled major advances in the oil & gas industry related to exploration, reservoir characterization, and management. However, its capability is not fully exploited. The objective of this project
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are able to offer. See the different category headings below to find out more or change your settings. You may also be able to exercise your privacy choices as described in our Privacy Policy
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general tasks Observe and promote safety practices Be a team player and maintain a positive attitude towards work. Clear communication Strong work ethic and attention to detail Ability to work independently
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slugs of fluids, fluid mixing and associated reaction may occur within the wellbore which is a function of various parameters such as the Reynolds number. The objective of this project is to develop a