19 operations-management-associate-professor Postdoctoral positions at King Abdullah University of Science and Technology in Saudi Arabia
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Applications must be submitted through Interfolio. Please do not send your CV to the Professor through e-mail or LinkedIn account. Candidates whose research background does not align with
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. The successful applicant will be associated with the new Mineral Exploration and Exploitation Group at KAUST. The group will commence work in August 2025. Its main aim is to contribute to the development
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of work. The successful applicant will be associated with the new Mineral Exploration and Exploitation Group at KAUST. The group will commence work in August 2025. Its main aim is to contribute
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, Masters thesis students). He/She will also be in charge of developing further the facilities of the laboratory. The candidate will also be in charge of delivering regular reports related to the associated
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-specific reference points for multispecies coral reef fisheries, we aim to pioneer the development of economic reference points to assess the economic performance and potential of global reef fisheries. In
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. The successful candidate will be based within the Integrated Reef Fisheries Lab at KAUST, led by Professor Jessica Zamborain-Mason, and will have the opportunity to collaborate with a dynamic national
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(Generation of unique databases on well-identified frames), validated models in operational conditions (New models based on real in-situ observations and mechanism). Microstructure manipulation for tailoring
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operational conditions (New models based on real in-situ observations and mechanism). Microstructure manipulation for tailoring macroscopic response: Toughing mechanism using surface on involume spatial
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on well-identified frames), validated models in operational conditions (New models based on real in-situ observations and mechanism). Microstructure manipulation for tailoring macroscopic response: Toughing
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degradation, and connect them to cell- and pack-level safety performance. · Design model-based and data-driven frameworks for battery management systems, including health monitoring, early fault detection, and