40 developer-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions in United Arab Emirates
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learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI
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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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to contribute to the intellectual property development through patent filings, as well as participating in standardization efforts relevant to wireless technologies, in coordination with academic and industrial
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in the field of Artificial Intelligence. The successful candidates will be responsible for delivering high-quality instruction, mentoring students and contribute to curriculum development. Faculty
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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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opportunity to shape a dynamic academic division at a pivotal moment in the university’s evolution. The Dean will lead a vibrant community of scholars who advance foundational and applied research on some of
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the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins using physics-informed learning approaches, with specific applications to intelligent transportation
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environments, hardware platforms, and frequency bands Develop, validate, and document ISAC channel modeling methodologies tailored to the lab’s hardware/software testbed. Integrate SDRs (e.g., USRPs, RFSoC) and
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. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data
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candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art