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Field
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sensors, RGB/IR cameras, video systems, insect traps, and other devices to build predictive, AI- and machine-learning based models for monitoring grain quality and detecting deterioration due to mold
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University of California, San Francisco Colitis Center | San Francisco, California | United States | 20 days ago
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, peripheral physiological measurement devices, various systems for audio and video presentation through Nordic Neurolab Systems and potential functional near-infrared spectroscopy (fNIRS). UHF-MRI Compatible
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reconstruction Develop methods for behavior understanding from multi-view video and audio recordings Advance multimodal large language models for fine-grained action understanding and reasoning Help shape the next
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). C. Interview(s) The interview(s) may be done in different formats: video recording, online or onsite. The question based interview will evaluate the match between the candidate’s profile and the
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feedback, and enable independent practice outside conventional instructor-led settings and without audio/video/data connectivity. The selected candidate will join a collaborative environment involving
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input to the project monograph. Present findings at academic conferences, project workshops and policy events. Contribute to digital dissemination, including short-form video explainers, the project
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input to the project monograph. Present findings at academic conferences, project workshops and policy events. Contribute to digital dissemination, including short-form video explainers, the project
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input to the project monograph. Present findings at academic conferences, project workshops and policy events. Contribute to digital dissemination, including short-form video explainers, the project
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to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for Real-time Video