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object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as TensorFlow or PyTorch. Experience training models for real-world deployment. Required Documents
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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, molecular representations, machine learning models, deep learning, generative models, and applications in reactions, catalysis, and spectroscopy. Coordinate with CCE faculty and invited guest lecturers
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for the Deep Synoptic Array (DSA) project. The candidate will be the lead engineer for the Chronoscope (CHR) subsystem of the project. The Chronoscope subsystem will enable a world-leading, near real
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to efficiently prepare and fabricate a variety of food ingredients according to recipe standards with speed and good palate. Must be versatile with the ability to learn to work at any food service station
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; campus events; grants and awards; and other topics, as assigned. The Science Writer is expected to develop and maintain a deep understanding of the research activities and priorities of a specific division