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-among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population
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, using signal processing/machine learning techniques, to realise all-weather perception in autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project
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/reports based on various databases related to space information, capital planning, capital project delivery, energy and sustainability, and facility operations by extracting data sets from multiple software
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(preferably Python), multiple years of programming experience as well as profound knowledge of professional computer-aided design and 3D modelling In addition, you have experience in CAD/CAM (preferably McNeel
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will be responsible for programming and maintaining gait exoskeleton systems, developing and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from
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and performance optimization. The position is specifically designed for a candidate combining hands-on experimental competence, Python-based simulation and data analysis expertise, and experience in
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, focusing on the development of a mobile DC microgrid for military tactical applications. The role involves designing and implementing advanced control algorithms to coordinate multiple energy sources
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research and requires the ability to manage multiple projects simultaneously while following established protocols with minimal supervision. This position will support and coordinate projects involving a
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: To develop and apply models of microplastic fate, transport, and human exposure across multiple environmental media. To integrate environmental monitoring and laboratory datasets with exposure and risk
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workflows. 3. Programming Skills: - Proficiency in C++/or Python programming languages is essential. 4. Research Contributions: - Demonstrated publications in AI for Materials Chemistry. 5. Collaboration and