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Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics. Specifically
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, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering
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in the CARLA driving simulation platform and using various map APIs; (d) possess strong programming skills in Python, Java and other languages; and (e) demonstrate solid capabilities in system
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-based control system for wearable thermoelectric systems; and (e) be able to design and conduct fiber device simulations via simulation software such as COMSOL or Multiphysics. Applicants are invited
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rates. Working under the mentorship of experts in genetics, patient safety, and AI/ML, the postdoc will have access to AbbVie's unparalleled genetic and safety datasets. This project represents a key
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framework. This includes developing the sensors, sensing robotic platform, environmental prediction model, and visualization tool as needed. The tasks will also include field experiments to test the
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with good gender balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates. The planned PhD research topic will explore techniques to handle protected data in digital
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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neuroimage data, including kinetic modeling and multimodal data synthesis. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and
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sensors will be designed, modeled, fabricated, and fully packaged for deployment. Sensor performance will be measured in the lab and new techniques will be developed to characterize performance for inertial