13 bayesian-object-tracking positions at King Abdullah University of Science and Technology
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https
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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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○ 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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tasks require high-frequency evaluations of forward models, in order to quantify the uncertainties of rock and fluid properties in the subsurface formations. Therefore, the objectives of this research
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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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in the design, processing, and characterization of advanced semiconductors — including organic, hybrid, and 2D materials. Applicants should demonstrate a strong track record of fundamental and applied
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, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years
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be considered. Successful candidates should hold a Ph.D. in Biological Sciences or a related field, with a robust track record of publications in top-tier journals, and must be eager to pioneer
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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