21 algorithm-development-"Prof"-"Washington-University-in-St" positions in United Arab Emirates
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computing resources and research equipment Opportunities for professional development and networking Collaborative and innovative research environment If you have any questions, please email Prof. Muhammad
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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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is a plus point. Applicants with a PhD in Quantum Physics are also welcome, but they should have a focus on Quantum Circuits, Quantum Algorithms, and preferably expertise in developing Software
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have a focus on Quantum Circuits, Quantum Algorithms, and preferably expertise in developing Software for Quantum Machines. The appointment will be for a period of two years, and extensions to longer
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to contribute to cutting-edge research in robot intelligence, machine learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms
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is a plus point. Applicants with a PhD in Quantum Physics are also welcome, but they should have a focus on Quantum Circuits, Quantum Algorithms, and preferably expertise in developing Software
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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 developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may also work with diverse signal modalities, including vision
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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation