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United Arab Emirates Application Deadline 28 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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United Arab Emirates Application Deadline 28 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
that spans infrastructure resilience, computational geomechanics, and data-driven risk evaluation. The successful candidate will publish in high-impact journals and contribute to proposals and
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undergraduate students. They will also benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities. Applicants for the Research Assistant
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includes access to high-performance computing facilities . There are many collaboration opportunities within NYUAD , which already houses a number of interdisciplinary research centers, including the Center
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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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(R3) Country United Arab Emirates Application Deadline 4 Feb 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal
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computer science, data science, design, and ethics, and to contribute to high-impact research that shapes the development of equitable and inclusive AI technologies in the Arab region. Applicants must have a PhD in
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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