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research on the design and development of next-generation wireless communication systems. Specific topics include, but are not limited to, waveform design for the THz spectrum under hardware constraints
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Engineering. This role is ideal for candidates with a strong academic background and a passion for delivering high-quality teaching, contributing to curriculum development, and supporting student success in
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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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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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technologies responsibly throughout the development lifecycle. Responsibilities include: Teaching courses across software engineering and related areas using inclusive, activity-led, project-based pedagogy
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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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, Industrial-Organizational Psychology, or a related discipline. Demonstrated expertise in leadership development, teamwork, or human factors in technology settings. Familiarity with AI applications in
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management tools (e.g., MS Project, Jira, Asana, or equivalent) and AI/technology project contexts is desirable. Strong commitment to teaching excellence, experiential learning, and student development
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will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also
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development of cognitive omni-band wireless systems for 6G and beyond. The successful candidate will be jointly supervised by Mahmoud Rasras and Murat Uysal and will work in close collaboration with other