148 parallel-and-distributed-computing-phd Postdoctoral positions in United Arab Emirates
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. Contribute to mentorship of students and lab group discussions. Minimum Qualifications: PhD in Chemical Engineering, Environmental Engineering, Materials Science, Mechanical Engineering, or a related field
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validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts
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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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Description The RNA Modifications, Intellect, and NeuroDegeneration (RNA-MIND) Laboratory under the Biology Program, Division of Science, of New York University Abu Dhabi seeks to recruit a research
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technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived models and data science ideas. Applicants must have received a PhD in
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of the advertised topics, as well as an excellent academic record. Candidates with PhDs in Physics or Computer Science may also be considered if they willing to collaborate with mathematicians on these topics
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measurements for RIS enabled communication environments, as well as processing and analyzing the collected data. Applicants must hold a PhD degree in Electrical/Electronics Engineering, telecommunications
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explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include
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18 Sep 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established
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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement