11 bayesian-object-tracking positions at King Abdullah University of Science and Technology
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This is a unified application form for all positions in the Beyesian Deep Learning group at KAUST led by Prof Maurizio Filippone, including Research Intern MS/PhD Student PhD Student Postdoctoral Fellow Research Scientist This lightweight form is intended as a first point of contact, and should...
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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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, 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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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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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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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
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integrate complex flow on Discrete Fracture Networks (DFN). The objective of this project is to develop a tool to generate DFN models amenable for multiphase flow, and scale up the model to be usable with
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membrane performance. Therefore, this objective of this research is develop efficient algorithms and models based on deep learning to accelerate the physics simulation for membrane relevant processes, which
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The Electronic Resources & Metadata Librarian will manage electronic resources, ensuring continuous access, keeping accurate records of library subscriptions, troubleshooting access issues, tracking
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effective solution to mitigate GHG emissions that can be deployed at large scales. CCS may enable the industry to continue operating with reduced environmental footprint. The objective of this project is to