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Storage, Hydrogen Economy, Economics, Business Administration, Management, and Finance. Discover more about our research centers and our research strategy. If your research aligns with ours, we would
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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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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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-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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, 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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; Experience of working in an international environment is desirable. Apply now » Find similar jobs: KAUST Jobs, Academic and Research Jobs Careers Home View All Jobs Main KAUST website Privacy Notice
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; Experience of working in an international environment is desirable. Apply now » Find similar jobs: KAUST Jobs, Academic and Research Jobs Careers Home View All Jobs Main KAUST website Privacy Notice
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. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits. The position will combine techniques from geological modelling, geostatistics, machine learning, and
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industry partners. Design, implement, and validate advanced reinforcement learning models. Utilize reinforcement learning and evolutionary algorithms to discover new chemical materials. Publish and present
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all aspects of these complex problems. In the Composites Lab, you will find skills ranging from theoretical mechanics, applied mathematics, and computer science to material science and chemical