11 decision-making "https:" "https:" "https:" "https:" Fellowship positions in Saudi Arabia
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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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working closely with team members and collaborators. Starting with defined projects, you will have the freedom to explore your own scientific pursuits and passions. We offer a highly competitive salary
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learning. A suitable candidate should have publications in good venues, mainly CVPR, ICCV, ECCV, ICLR, NeurIPS, Siggraph, and Siggraph Asia. Various research topics are available and the exact research topic
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bug or failure in a CT reconstruction or generative model pipeline that took you more than a day to resolve. What was the root cause, and what did you change? (We are looking for a real incident, not a
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measurements and accurately invert for physical properties often lacks the accuracy and resolution we seek for making informed decisions. Both shortcomings are usually attributed to the limitations in our
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for structural health monitoring applications. The candidate will work in a transdisciplinary environment to develop and characterize nanofiber materials, as well as to build and test sensor prototypes.
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, to determine the formation, characteristics, extent and morphology of the hydrothermal vent fields. We are looking for a highly motivated, independent researcher to work with extensive datasets from multiple
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population of high achievers, and interaction with world-leading faculty across a range of disciplines. Postdoc applicants should get in touch at [email protected], attaching a CV and discussing their
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fractures can play a key role on production performance. One of the persisting challenges is to create complex 3D fracture networks and solve multiphase flow efficiently. None of the existing tools can