25 image-coding-"the"-"Humboldt-Stiftung-Foundation" positions at University of Colorado
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stimulation on motor learning, cortical plasticity and rehabilitation. Our approach combines chronic VNS with optogenetics, in vivo two-photon imaging, electrophysiology and skilled motor tasks in the mouse
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through CU Advantage, we prioritize well-being and holistic development. Want to know your total compensation? Use our calculator to get the complete picture! Summary The Director of Planning, Design, and
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key role in diagnosing patients' medical conditions. They must be able to position patients and use equipment skillfully to capture useful, high-quality diagnostic images. Key Responsibilities
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development. Want to know your total compensation? Use our calculator to get the complete picture! Summary This position provides comprehensive administrative support to the Facilities Services, Planning
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for automated data curation, including image de-identification, report parsing, and metadata normalization. Software Engineering: Write modular, scalable code in modern deep learning frameworks (e.g., PyTorch
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patients' medical conditions. They must be able to position patients and use equipment skillfully to capture useful, high-quality diagnostic images. Key Responsibilities: Positions patient and performs
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picture! CU Advantage Because this appointment is temporary, you will not be eligible to receive all of the benefits normally provided to members of the university staff under the standard University
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forms must be uploaded to UCH research admin share folder HIM within 48-72 hours. Be willing to consent participants. Be willing to fill in and take retinas' picture for investigational subjects in case
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, radiology, pharmacy) Collect, code, and analyze data obtained from research in an accurate and timely manner Independently master study materials, including but not limited to protocols, informed consent
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and efficiencies. Building machine learning models to analyze medical images. Maintain project code in Github. Work with clinicians to understand clinical workflows and algorithm requirements