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actionable insights to leadership and help drive data-informed decision-making. Utilizes a broad and deep understanding of all areas of Workday Reporting & Analytics including Report Writer, Prism Analytics
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? Please apply no later than 18 January 2026 via the application button and upload the … Where to apply Website https://www.academictransfer.com/en/jobs/356797/phd-position-in-deep-learning-f… Requirements
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University of California San Francisco | San Francisco, California | United States | about 6 hours ago
. This position requires expert-level technical and functional ERP mastery, paired with deep institutional knowledge of UCSF's business processes, operational structures, and policy frameworks. Serving as a
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/Wangal people as the traditional custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect
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engineeringEducation LevelPhD or equivalent Skills/Qualifications We are seeking a scientist with: Expertise in image-based biological tissue modeling and simulation Good command of deep learning Expertise in coding and
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requirements to be integrated into the UAV under development.; ; - Development of Deep Learning algorithms for processing information from visible spectrum cameras, thermographic cameras, and LiDAR systems
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, mathematical logic or statistical learning theory. For PhD position 2, we appreciate prior experience in implementing deep learning models for graphs and networks. Our offer As a PhD candidate at UT, you will be
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purchasing policies, strategic sourcing goals, and operational standards. Success in this role requires both technical expertise and deep institutional knowledge of UCSF's supply chain processes, policies, and
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community college in the Minnesota State Colleges and Universities system. To learn more about our strategic vision, visit http://www.normandale.edu/Normandale2020. Connections working at Normandale Community
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Biology, Bioinformatics, Statistics, or a closely related discipline, and have an strong record of research productivity. The ideal candidate will have experience in deep learning, generative models