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to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
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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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, climate, and human health. Examples of current active projects include: Developing optimization models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems
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mode of accretion, providing insights into the conditions required to launch jets. The main objective of the research program of the PI is to uncover the nature of relativistic jets and understand
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candidate will work under the supervision of Professor Raed Hashaikeh in the Mechanical Engineering department. This project focuses on the development and optimization of conductive membranes
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, climate, and human health. Examples of current active projects include: Developing optimization models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems
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: Investigating membrane fouling mechanisms and mitigation strategies in desalination and water treatment processes. Developing and optimizing functional membranes, including electrically conductive membranes
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design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
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Comprehensive medical insurance coverage Relocation assistance package Access to state-of-the-art computing resources and research equipment Opportunities for professional development and networking Collaborative
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involved in the development of open source tools and resources, and to work on publications related to their work. CAMeL's mission is research and education in artificial intelligence, specifically focusing