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evaluating deep learning architectures Experience with computer vision and AI-based object detection and segmentation models such as YOLO, SAM, etc. Special Instructions to Applicants: Application must be
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, and drive quality improvement across our clinics. Your efforts will focus on chronic disease management, patient education, and program development that advances our mission of exceptional, community
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software and hardware. Works with SASC colleagues to use archival theory and computational thinking to brainstorm and experiment with creative approaches to appraising, managing, and preserving born-digital
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preferences for horticultural goods and services. Support the design of computer-based choice experiments simulating shopping tasks. Assist with coordinating data collection for eye tracking and behavioral
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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disorders; proper modeling of neuroimaging data; and integration of genomic, transcriptomic, proteomic, and imaging data to understand neurological conditions and responses to therapy. A ready collaborative
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Resource Planning; Data Platform and Analytics; Information Security Office; Infrastructure and Communication Technology; and Research Computing. With established governance advisory committees and a set of
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, weather simulations, environment studies, etc. Statistical modeling and data visualization Parallel software design with MPI, OpenMP, pthreads, or CUDA GPU computing environment Deep Learning, image
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position at the Associate Professor or Professor level. We seek an innovative and collaborative investigator with a strong research program focused on Type 2 Diabetes (T2D). Areas of study may include, but
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environment and models timeliness, helpfulness and efficiency in communication, creative problem-solving, and collaboration. May attend crew watch/crew orientation for each production to train student deck crew