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initial phase will employ machine learning models, computer vision algorithms, and real-time sensory integration to prototype tools such as SafeCross for safe street crossing and EasyPath for indoor
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Description The New York University Abu Dhabi Computational Approaches to Modeling Language (CAMeL) Lab seeks to hire a new research assistant to work in any of the lab research areas, to be
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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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for biomedical and clinical applications. The successful candidate will be expected to advance these technologies across different biological models and contribute to other projects involving microfluidic systems
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computer science, or related fields to apply. A strong publication record is encouraged, along with experience in machine learning model development and statistical learning. The selected candidate will work
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or Python) is required. Experience with large-scale concrete testing, modeling, and simulation (e.g., COMSOL, Abaqus) is a plus. Familiarity with AC impedance spectroscopy, electro-mechanical impedance, wave
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selective institutions in the world and is home to a community of over 370 scholars across more than 90 research centers and laboratories. It is pioneering an innovative model of higher education for a global
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for wireless communications Channel modeling and characterization Applications will be accepted immediately and candidates will be considered until the positions are filled. To be considered, all applicants must