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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer
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) Application Deadline 13 Aug 2026 - 00:00 (UTC) Country United Arab Emirates 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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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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Deadline 13 Aug 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Deadline 20 Aug 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Researcher (R3) Application Deadline 13 Aug 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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digitalization of the built environment. Applicants must hold a PhD in Civil Engineering, Construction Engineering and Management, Computer Science, Cybersecurity, Electrical Engineering, Robotics, Artificial
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Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES), together with the Division of Engineering, Civil and Urban Engineering Program, at NYU
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research program, contribute to collaborative projects, and participate actively in the training and mentoring of undergraduate students through research supervision and hands-on laboratory instruction
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synthesis, computational chemistry, and advanced structural characterization of functional materials. The successful candidate will contribute to ongoing projects focused on understanding structure–property