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that preserves object identity or style. They should have a solid publication record in top-tier computer vision conferences such as CVPR, ICCV, or ECCV, and demonstrate proficiency in deep learning frameworks
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, 3-D dosimetry, oncologic and biological imaging, automatic treatment planning, radiomics and deep-learning, modeling of radiation damage for normal tissues and of tumor control using radiation
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tasks and zero-shot evaluation in linguistic analysis. Profile • Master’s degree (M2) or PhD in computer science, NLP, machine learning, deep learning, or a related field. • Strong experience in machine
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applications for one or more fixed-term, non-tenure-track full/part-time Instructor positions to teach on a term by term basis for the 2025-2026 academic year. Some of these appointments may be reviewed
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leadership in newsrooms or broadcast journalism, possess a deep understanding of current and future media trends, and excel in producing, editing, and reporting across both traditional and emerging platforms
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Faculty Salary Schedule: https://www.gavilan.edu/jobs/salary/docs/Faculty-Salary-24-25.pdf Assignment Start Date: Fall 2026 Semester About Gavilan: Located in the heart of California between San Jose and
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about where a new hire would be placed on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation
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with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative
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Job Description Do you want to figure out why Bayesian deep learning doesn’t work? And afterwards fix it? At DTU Compute we are working towards building highly scalable Bayesian approximations
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Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application