55 big-data positions at King Abdullah University of Science and Technology in Saudi Arabia
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To apply for this position, please send an email to Nouf and ensure that you include the following documents (combined in a single pdf file): Cover letter Curriculum vitae Contact information
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improvement. Project Our group has recently advanced our understanding of bread wheat domestication by analyzing genomic data from wild wheat relatives (https://www.nature.com/articles/s41586-023-06389-7
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and research infrastructure with the possibility to receive training on diverse instruments by experts in their fields. Skill diversification, e.g. programming courses in AI/ML and data visualization
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control, data acquisition, and visualization. Assist with embedded system development. Document design iterations, field tests, and system behavior in comprehensive reports. Ensure compliance with relevant
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. Develop sensing principles, data acquisition, and measurement systems. Upscale technology and validate its integration into a variety of structures, including structures for mobility, energy, and civil
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in a connected context, investigating how accelerators can be designed, integrated, and scaled for emerging large scale and networked applications. We are interested in new ways of virtualising
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boasts world-class equipment, research and recreational facilities, and computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can
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equipment, research and recreational facilities, and computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can be found
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is essential. General Information: The KAUST Bioscience Program offers a unique environment fostering intellectual growth, with access to world-class laboratories, advanced instrumentation, and
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to HEPA filtration for cleanrooms. Understanding of cleanroom particle control protocols, air borne and surface monitoring instrumentation and data reporting to support cleanroom classification. Strong