87 algorithm-development-"Prof"-"Prof" Postdoctoral positions in United Arab Emirates
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presentations at leading international conferences. The PDA is expected to contribute to the intellectual property development through patent filings, as well as participating in standardization efforts relevant
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on Macro, Labor and/or Development Economics. The appointment is for 2 years and will begin September 1, 2026, subject to final budget approval and UAE visa acquisition by the prospective post-doctoral
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of the Water Research Center. The successful applicant will lead an innovative project focused on the development of hybrid processes for the recovery of minerals from desalination reject brine. The role will
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
management. Develop and validate computational models for monitoring and predicting infrastructure performance. Collaborate with faculty and researchers across SHORES. Disseminate research findings through
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on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing model is preferred. The selected candidate will work in the ATLAS
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to work on the development of responsive membranes with in situ switchable properties, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor
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on independent research, and half their time on collaborative research with Professor Peter van der Windt. The collaborative research will be in the field of political economy of development, with
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related to staff position within a Research Infrastructure? No Offer Description Description The Water Research Center at New York University Abu Dhabi seeks to recruit a Post-Doctoral Associate to develop
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from individuals who have or will soon receive a PhD in Economics focusing on Macro, Labor and/or Development Economics. The appointment is for 2 years and will begin September 1, 2026, subject to final
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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a