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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by
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Researcher (R3) Country United Arab Emirates Application Deadline 20 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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following research topics: Resource allocation for wireless networks Radio resource management and mobility management Cognitive radio or adaptive communication systems, including dynamic spectrum access
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laboratory-based research and contributing to peer-reviewed publications, the candidate will also manage critical research administration responsibilities in the Burt Lab and affiliated centers. This hybrid
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Post-Doctoral Associate in the Division of Social Science - Dr. Morgan Hardy and Dr. Veda Narasimhan
change, and migration often involving fieldwork in various African and Asian contexts. We seek a candidate with expertise in managing complex fieldwork on the African and Asian continents, including survey
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how you plan to contribute to the above research topics Contact details of at least three references. All attachments should be in PDF format. If you have any questions about the position, please email
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. To be considered, all applicants must submit Cover letter Curriculum vitae with complete publication list BSc, MSc and PhD transcripts Research statement elaborating how you plan to contribute
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
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, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering and professor Raed Hashaikeh, Professor of Mechanical Engineering. The successful
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infrastructure design, management, and policymaking. Investigating the residual sources of PM2.5 exposure from transportation systems following electric vehicle (EV) adoption, including exposure due to emissions