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description. This PhD project aims to develop computational and image-analysis approaches for quantitative characterization of cytoskeletal organization, polarity, and flow dynamics in single metastasizing
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; another one to automatically select models for image classification tasks, object detection and semantic segmentation; a pre-processing model that automates the necessary steps to match the images with
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Diem Ultrasound Technologist - Ultrasound IP - IRV - PD - Night Req ID: 140773 Location: Irvine, California Division: Medical Center Department: Ultrasound IP - IRV Position Type: PER DIEM Salary Range
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 2 months ago
well as educational, research, clinical and administrative programmatic growth, and development. As part of the position, an applicant will be expected to contribute to all aspects of our Ultrasound Division operations
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Printmaking and Drawing Number of Vacancies 1 Location Rio Grande Valley, Texas Division/Organization Provost - Academic Affairs Appointment Period for Non-Tenure Position Tenure Status Tenure Track FTE 1.0
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to enhance positive recreation and wellness lifestyles of the university community. CRW supports the Division of Student Affairs commitment to purposeful well-being. We strive to enhance the vitality and
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: Appointments are for Summer 2026: Elementary Division appointments begin early July. Secondary Division appointments begin mid-June. Global Programs appointments usually begin either June or July. Position
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Posting Details Position Information Job Title Financial Aid Advisor I Position Number 500606 Vacancy Open to All Candidates Department AAH Financial Aid Awrds Schlrshps Department Homepage https
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The Radiology Department is a specialty medical service that offers a wide range of imaging techniques
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implement computer vision pipelines for crop monitoring, plant stress detection, and disease identification in greenhouse environments. Apply machine learning and deep learning models (semantic segmentation