26 bayesian-object-detection positions at King Abdullah University of Science and Technology
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to addressing the world’s pressing scientific and technological challenges, broadly aligned with the objectives of Saudi Arabia’s VISION 2030. All relevant research areas of Computer Science will be considered
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or a related field with demonstrated relevant expertise or Master of Science/Engineering (preferred) at least 2-3 years of experience in the lab. Apply now » Find similar jobs: KAUST Jobs, Academic and
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contribute significantly to the objectives outlined in Saudi Vision 2030. This alignment should be explicitly demonstrated by emphasizing one or more of KAUST's Research, Development, and Innovation (RDI
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Development Goals and to contribute significantly to the objectives outlined in Saudi Vision 2030. This alignment should be explicitly demonstrated by emphasizing one or more of KAUST's Research, Development
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. Familiarity with travel regulations (visas, passports, COVID/travel restrictions) Strong geography and destination knowledge Relevant experience working in managing travel agencies is preferred Apply now » Find
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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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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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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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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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. 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